Fast & Efficient LLM Inference with vLLM

<div>
<p>AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, particularly in the realm of generative AI, and we’re building an education platform to train them. With a mission to empower everyone to build with AI, <a href="http://deeplearning.ai/">DeepLearning.AI</a> is an education technology company that is empowering the global workforce to build an AI-powered future. We’re a small tech company with serious credentials, exciting challenges, and wonderful teammates.</p>
<p><a href="http://deeplearning.ai/">DeepLearning.AI</a> is looking for an AI Engineer to work within our newly formed Learning Experience Lab. In this role, you will leverage your expertise in software and machine learning to help us build the future of education. A passion for education is a plus in this role. Your technical skills in software development and the AI space, and your ability to communicate and work well with a team will all be critical for this role. We are headquartered in Mountain View, California and this is an in-person in-office role.</p>
<p>This position is open to candidates based in the United States. For U.S.-based candidates, you must either already possess or be eligible to obtain authorization to work in the U.S.</p>
<h3><strong>Here’s what you’ll do:</strong></h3>
<ul>
<li>
<p>Develop new AI products and features to be incorporated into platform learning experiences and content creation workflows.&nbsp;</p>
</li>
<li>
<p>Work with a small team to quickly iterate and ship new products and features.&nbsp;</p>
</li>
<li>
<p>Drive rapid engineering efforts to build full-stack applications using GenAI tools, enabling deep exploration of product ideas, user experiences, and technical feasibility</p>
</li>
<li>
<p>Apply GenAI building blocks (prompt engineering, RAG, finetuning, agentic frameworks, evals, and guardrails) to real-world development.</p>
</li>
</ul>
<ul>
<li>
<p>Learn quickly and proactively when it comes to new technologies in the AI space as well as technologies that are new to you.&nbsp;</p>
</li>
<li>
<p>Be organized in your work, regularly communicate the status of your projects, and ask for help or feedback proactively.&nbsp;</p>
</li>
</ul>
<h3><strong>Here are the skills you should have:</strong></h3>
<ul>
<li>
<p>Technical background in software development, scalable application deployment on cloud services, and the ability to independently develop new software components and integrate them into larger projects.&nbsp;</p>
</li>
<li>
<p>The ability to use AI coding tools (e.g., Claude Code, Codex, Gemini CLI) both for the purposes of writing scrappy, disposable code to get from idea to working prototype in hours or days, as well as to refine your prototype into a clean, robust codebase for scalable products.</p>
</li>
<li>
<p>Proficiency with GenAI tools and frameworks: prompt engineering, RAG, finetuning, agentic workflows, evals, guardrails. Experience with front-end technologies like JavaScript, HTML, CSS, and modern frameworks like React, Typescript, and Tailwind. Strong back-end skills, particularly with Python. Database skills for relational, noSQL, graph, and vector databases.</p>
</li>
<li>
<p>Technical familiarity with machine learning and AI, particularly using LLM APIs and frameworks for things like tool calling, agentic workflows, RAG, finetuning, and using popular frameworks / APIs for these things. While you may not be an expert in all these areas, you should be able to demonstrate deep technical understanding of at least a couple of these things and conceptual understanding of the rest.&nbsp;</p>
</li>
<li>
<p>Strong early career experience in software development and AI / LLM projects. This could come from some combination of formal study, internships, previous work experience, and side projects.&nbsp;</p>
</li>
<li>
<p>Excellent communicator and team player with strong English language skills if not a native speaker yourself.</p>
</li>
</ul>
<h3><strong>Bonus if you have:</strong></h3>
<ul>
<li>
<p>Background or expertise in education and / or development of educational technology.</p>
</li>
<li>
<p>Experience in product management, user testing, and rapid iteration.&nbsp;</p>
</li>
</ul>
<h3><strong>What you get working with us:</strong></h3>
<ul>
<li>
<p>Being part of a world-class team of education and AI experts trying to change the world.</p>
</li>
<li>
<p>Work across cultural and geographical lines alongside our offices in different parts of the world.</p>
</li>
<li>
<p>The opportunity to be exceptionally creative with your high-impact ideas.</p>
</li>
</ul>
<h3><strong>Our defining values:</strong></h3>
<ul>
<li>
<p>We care deeply about our learners: We let our learner's needs guide our actions and decisions and put our mission ahead of ourselves.</p>
</li>
<li>
<p>We are great at what we do: We strive for excellence in all dimensions, especially in the quality of the content we create and people we hire.</p>
</li>
<li>
<p>We default to action: We are comfortable acting with limited information and taking ownership of our decisions.&nbsp;</p>
</li>
<li>
<p>We ask why: We ask the hard questions, and are open to being in the wrong. We advocate for the best ideas, not our ideas.&nbsp;</p>
</li>
<li>
<p>We are honest and authentic: We are transparent as an organization, over-communicate to build trust and share our failures just as we do our successes.</p>
</li>
<li>
<p>We do this together: We help each other grow and succeed and have fun at work, even in a remote environment.</p>
</li>
</ul>
<p>At <a href="http://deeplearning.ai/">DeepLearning.AI</a>, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. <a href="http://deeplearning.ai/">DeepLearning.AI</a> believes that diversity and inclusion among our employees are critical to our success as a company. We seek to recruit, develop, and retain the most talented people from a diverse candidate pool. Selection for employment is decided based on qualifications, merit, and business needs.</p>
</div>

<div>
<p>AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, particularly in the realm of generative AI, and we&rsquo;re building an education platform to train them. With a mission to empower everyone to build with AI, <a href="http://deeplearning.ai/">DeepLearning.AI</a> is an education technology company that is empowering the global workforce to build an AI-powered future. We&rsquo;re a small tech company with serious credentials, exciting challenges, and wonderful teammates.</p>
<p><a href="http://deeplearning.ai/">DeepLearning.AI</a> is looking for an AI Engineer to work within our newly formed Learning Experience Lab. In this role, you will leverage your expertise in software and machine learning to help us build the future of education. A passion for education is a plus in this role. Your technical skills in software development and the AI space, and your ability to communicate and work well with a team will all be critical for this role. We are headquartered in Mountain View, California and this is an in-person in-office role.</p>
<p>This position is open to candidates based in the United States. For U.S.-based candidates, you must either already possess or be eligible to obtain authorization to work in the U.S.</p>
<h3><strong>Here&rsquo;s what you&rsquo;ll do:</strong></h3>
<ul>
<li>
<p>Develop new AI products and features to be incorporated into platform learning experiences and content creation workflows.&nbsp;</p>
</li>
<li>
<p>Work with a small team to quickly iterate and ship new products and features.&nbsp;</p>
</li>
<li>
<p>Drive rapid engineering efforts to build full-stack applications using GenAI tools, enabling deep exploration of product ideas, user experiences, and technical feasibility</p>
</li>
<li>
<p>Apply GenAI building blocks (prompt engineering, RAG, finetuning, agentic frameworks, evals, and guardrails) to real-world development.</p>
</li>
</ul>
<ul>
<li>
<p>Learn quickly and proactively when it comes to new technologies in the AI space as well as technologies that are new to you.&nbsp;</p>
</li>
<li>
<p>Be organized in your work, regularly communicate the status of your projects, and ask for help or feedback proactively.&nbsp;</p>
</li>
</ul>
<h3><strong>Here are the skills you should have:</strong></h3>
<ul>
<li>
<p>Technical background in software development, scalable application deployment on cloud services, and the ability to independently develop new software components and integrate them into larger projects.&nbsp;</p>
</li>
<li>
<p>The ability to use AI coding tools (e.g., Claude Code, Codex, Gemini CLI) both for the purposes of writing scrappy, disposable code to get from idea to working prototype in hours or days, as well as to refine your prototype into a clean, robust codebase for scalable products.</p>
</li>
<li>
<p>Proficiency with GenAI tools and frameworks: prompt engineering, RAG, finetuning, agentic workflows, evals, guardrails. Experience with front-end technologies like JavaScript, HTML, CSS, and modern frameworks like React, Typescript, and Tailwind. Strong back-end skills, particularly with Python. Database skills for relational, noSQL, graph, and vector databases.</p>
</li>
<li>
<p>Technical familiarity with machine learning and AI, particularly using LLM APIs and frameworks for things like tool calling, agentic workflows, RAG, finetuning, and using popular frameworks / APIs for these things. While you may not be an expert in all these areas, you should be able to demonstrate deep technical understanding of at least a couple of these things and conceptual understanding of the rest.&nbsp;</p>
</li>
<li>
<p>Strong early career experience in software development and AI / LLM projects. This could come from some combination of formal study, internships, previous work experience, and side projects.&nbsp;</p>
</li>
<li>
<p>Excellent communicator and team player with strong English language skills if not a native speaker yourself.</p>
</li>
</ul>
<h3><strong>Bonus if you have:</strong></h3>
<ul>
<li>
<p>Background or expertise in education and / or development of educational technology.</p>
</li>
<li>
<p>Experience in product management, user testing, and rapid iteration.&nbsp;</p>
</li>
</ul>
<h3><strong>What you get working with us:</strong></h3>
<ul>
<li>
<p>Being part of a world-class team of education and AI experts trying to change the world.</p>
</li>
<li>
<p>Work across cultural and geographical lines alongside our offices in different parts of the world.</p>
</li>
<li>
<p>The opportunity to be exceptionally creative with your high-impact ideas.</p>
</li>
</ul>
<h3><strong>Our defining values:</strong></h3>
<ul>
<li>
<p>We care deeply about our learners: We let our learner's needs guide our actions and decisions and put our mission ahead of ourselves.</p>
</li>
<li>
<p>We are great at what we do: We strive for excellence in all dimensions, especially in the quality of the content we create and people we hire.</p>
</li>
<li>
<p>We default to action: We are comfortable acting with limited information and taking ownership of our decisions.&nbsp;</p>
</li>
<li>
<p>We ask why: We ask the hard questions, and are open to being in the wrong. We advocate for the best ideas, not our ideas.&nbsp;</p>
</li>
<li>
<p>We are honest and authentic: We are transparent as an organization, over-communicate to build trust and share our failures just as we do our successes.</p>
</li>
<li>
<p>We do this together: We help each other grow and succeed and have fun at work, even in a remote environment.</p>
</li>
</ul>
<p>At <a href="http://deeplearning.ai/">DeepLearning.AI</a>, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. <a href="http://deeplearning.ai/">DeepLearning.AI</a> believes that diversity and inclusion among our employees are critical to our success as a company. We seek to recruit, develop, and retain the most talented people from a diverse candidate pool. Selection for employment is decided based on qualifications, merit, and business needs.</p>
</div>

AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, particularly in the realm of generative AI, and we’re building an education platform to train them. With a mission to empower everyone to build with AI, DeepLearning.AI is an education technology company that is empowering the global workforce to build an AI-powered future. We’re a small tech company with serious credentials, exciting challenges, and wonderful teammates.
DeepLearning.AI is looking for an AI Engineer to work within our newly formed Learning Experience Lab. In this role, you will leverage your expertise in software and machine learning to help us build the future of education. A passion for education is a plus in this role. Your technical skills in software development and the AI space, and your ability to communicate and work well with a team will all be critical for this role. We are headquartered in Mountain View, California and this is an in-person in-office role.
This position is open to candidates based in the United States. For U.S.-based candidates, you must either already possess or be eligible to obtain authorization to work in the U.S.
Here’s what you’ll do:
Develop new AI products and features to be incorporated into platform learning experiences and content creation workflows. 
Work with a small team to quickly iterate and ship new products and features. 
Drive rapid engineering efforts to build full-stack applications using GenAI tools, enabling deep exploration of product ideas, user experiences, and technical feasibility
Apply GenAI building blocks (prompt engineering, RAG, finetuning, agentic frameworks, evals, and guardrails) to real-world development.
Learn quickly and proactively when it comes to new technologies in the AI space as well as technologies that are new to you. 
Be organized in your work, regularly communicate the status of your projects, and ask for help or feedback proactively. 
Here are the skills you should have:
Technical background in software development, scalable application deployment on cloud services, and the ability to independently develop new software components and integrate them into larger projects. 
The ability to use AI coding tools (e.g., Claude Code, Codex, Gemini CLI) both for the purposes of writing scrappy, disposable code to get from idea to working prototype in hours or days, as well as to refine your prototype into a clean, robust codebase for scalable products.
Proficiency with GenAI tools and frameworks: prompt engineering, RAG, finetuning, agentic workflows, evals, guardrails. Experience with front-end technologies like JavaScript, HTML, CSS, and modern frameworks like React, Typescript, and Tailwind. Strong back-end skills, particularly with Python. Database skills for relational, noSQL, graph, and vector databases.
Technical familiarity with machine learning and AI, particularly using LLM APIs and frameworks for things like tool calling, agentic workflows, RAG, finetuning, and using popular frameworks / APIs for these things. While you may not be an expert in all these areas, you should be able to demonstrate deep technical understanding of at least a couple of these things and conceptual understanding of the rest. 
Strong early career experience in software development and AI / LLM projects. This could come from some combination of formal study, internships, previous work experience, and side projects. 
Excellent communicator and team player with strong English language skills if not a native speaker yourself.
Bonus if you have:
Background or expertise in education and / or development of educational technology.
Experience in product management, user testing, and rapid iteration. 
What you get working with us:
Being part of a world-class team of education and AI experts trying to change the world.
Work across cultural and geographical lines alongside our offices in different parts of the world.
The opportunity to be exceptionally creative with your high-impact ideas.
Our defining values:
We care deeply about our learners: We let our learner's needs guide our actions and decisions and put our mission ahead of ourselves.
We are great at what we do: We strive for excellence in all dimensions, especially in the quality of the content we create and people we hire.
We default to action: We are comfortable acting with limited information and taking ownership of our decisions. 
We ask why: We ask the hard questions, and are open to being in the wrong. We advocate for the best ideas, not our ideas. 
We are honest and authentic: We are transparent as an organization, over-communicate to build trust and share our failures just as we do our successes.
We do this together: We help each other grow and succeed and have fun at work, even in a remote environment.
At DeepLearning.AI, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. DeepLearning.AI believes that diversity and inclusion among our employees are critical to our success as a company. We seek to recruit, develop, and retain the most talented people from a diverse candidate pool. Selection for employment is decided based on qualifications, merit, and business needs.


<div><span style="font-size: 16px;">AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, particularly in the realm of GenAI, and we’re building an education platform to train them. With a mission to grow and connect the global AI community, </span><a rel="noopener noreferrer" href="http://DeepLearning.AI" style="font-size: 16px;" class="postings-link">DeepLearning.AI</a><span style="font-size: 16px;"> is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community. We’re a small tech company with serious credentials, exciting marketing challenges, and wonderful teammates.</span></div>
<div>&nbsp;</div>
<div><span style="font-size: 16px;">DeepLearning.AI is looking for a </span><strong style="font-size: 16px;">Curriculum Product Manager</strong><span style="font-size: 16px;"> to work with our network of world experts in the AI space to create high-quality education content. In this role, you will leverage your expertise in learning experience design to help AI experts produce high-quality courses and effective learning experiences. Your experience as an educator, your technical skills in the AI space, and your ability to communicate and work well with a team will all be critical for this role. </span></div>
<div>&nbsp;</div>
<div>&nbsp;</div>
<div><strong style="font-size: 16px;">You must already have authorization to work in the United States.</strong><span style="font-size: 16px;">&nbsp;</span></div>
<div>&nbsp;</div>
<div><strong><span style="font-size: 16px;">This is an on-site position, 5 days per week in the office.</span></strong></div>

<div><span style="font-size: 16px;">AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, particularly in the realm of GenAI, and we&rsquo;re building an education platform to train them. With a mission to grow and connect the global AI community, </span><a class="postings-link" style="font-size: 16px;" href="http://DeepLearning.AI" target="_blank" rel="noopener noreferrer">DeepLearning.AI</a><span style="font-size: 16px;"> is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community. We&rsquo;re a small tech company with serious credentials, exciting marketing challenges, and wonderful teammates.</span></div>
<div>&nbsp;</div>
<div><span style="font-size: 16px;">DeepLearning.AI is looking for a </span><strong style="font-size: 16px;">Curriculum Product Manager</strong><span style="font-size: 16px;"> to work with our network of world experts in the AI space to create high-quality education content. In this role, you will leverage your expertise in learning experience design to help AI experts produce high-quality courses and effective learning experiences. Your experience as an educator, your technical skills in the AI space, and your ability to communicate and work well with a team will all be critical for this role. </span></div>
<div>&nbsp;</div>
<div>&nbsp;</div>
<div><strong style="font-size: 16px;">You must already have authorization to work in the United States.</strong><span style="font-size: 16px;">&nbsp;</span></div>
<div>&nbsp;</div>
<div><strong><span style="font-size: 16px;">This is an on-site position, 5 days per week in the office.</span></strong></div>

AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, particularly in the realm of GenAI, and we’re building an education platform to train them. With a mission to grow and connect the global AI community, DeepLearning.AI is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community. We’re a small tech company with serious credentials, exciting marketing challenges, and wonderful teammates.
 
DeepLearning.AI is looking for a Curriculum Product Manager to work with our network of world experts in the AI space to create high-quality education content. In this role, you will leverage your expertise in learning experience design to help AI experts produce high-quality courses and effective learning experiences. Your experience as an educator, your technical skills in the AI space, and your ability to communicate and work well with a team will all be critical for this role. 
 
 
You must already have authorization to work in the United States. 
 
This is an on-site position, 5 days per week in the office.


<div>

<li>Be accountable for co-creating AI/ML courses on Coursera and the DeepLearning.AI platform through partnerships with world-class AI experts.</li>
<li>Be the authority on the course creation process and guide the Subject Matter Experts (SMEs) and other content development partners through it.</li>
<li>Ensure consistently high content quality by holding the bar for technical content that is accurate, engaging, and effective, and guide and support the team, including the SME in reaching that bar.&nbsp;</li>
<li>Develop an independent perspective on the material being taught so that you can flex to assist the SME in fleshing out the topic and/or assist the content development team in creating relevant learning material if needed.&nbsp;</li>

</div>

<div>

<li>Quickly learning about the course topics from journal articles and other technical material.</li>
<li>Assessing how the SME’s expertise can best be utilized, and directing the work of other team members to effectively deliver high-quality content in a timely manner.</li>
<li>Reviewing and providing constructive feedback on technical AI content created by the SMEs and others, and determining how it can be converted into a high-quality learning experience through improvements to the words, visuals, code, and overall flow of ideas.</li>
<li>Tracking the creation and external review of all elements of the course, and creating them yourself if need be.&nbsp;</li>
<li>Working closely with a production and visual design team to record videos, add visual design, and deliver high-quality multimedia content to support the curriculum.</li>

</div>

<div>

<li>Technical background in math and programming at a level sufficient to follow and successfully complete an online course in machine learning&nbsp; such as DLAI’s <a rel="noopener noreferrer" href="https://www.coursera.org/specializations/deep-learning" class="postings-link">Deep Learning Specialization</a>. We expect you to be proficient in math (calculus, linear algebra, statistics etc.) as well as Python programming (functions, classes, data structures etc.) at a level where you can rapidly learn ML / AI topic areas that are new to you. Basic knowledge of AI / machine learning is required.&nbsp;</li>
<li>In-depth knowledge of instructional design best practices, with experience in designing, structuring, and teaching technical courses. Demonstrated ability to create interactive, applied learning experiences.</li>
<li>Graduate degree (Master’s or PhD) in fields like Computer Science, Artificial Intelligence, Data Science, or a related STEM area, or equivalent industry experience with hands-on expertise in data science,&nbsp; machine learning or software development.</li>
<li>Excellent communicator and team player with the ability to author and edit high-quality written content in English.</li>
<li>Familiarity with prompting and GenAI tools.</li>

</div>

<div>

<li>A PhD in Math, Data Science, Computer Science or a related field.&nbsp;</li>
<li>Previous experience developing online asynchronous curriculum in the areas of GenAI, AI, machine learning, data science, robotics, or similar.</li>
<li>Research or industry experience as a data scientist, machine learning engineer, or similar.</li>

</div>

<div>

<li>Being part of a world-class team of subject matter experts from various fields (marketing, operations, product, etc.) trying to change the world.</li>
<li>Work across cultural and geographical lines alongside our offices in different parts of the world.</li>
<li>A culture of lifelong learning is supported with a monthly stipend for professional development.</li>
<li>The opportunity to be exceptionally creative with your high-impact ideas.</li>

</div>

<div>

<li>DeepLearning.AI offers a competitive salary, flexible. Individual compensation offers will vary based on factors such as geographic location, work experience, education/training, and skill level. DeepLearning.AI offers a comprehensive benefits package including medical, dental, and vision coverage, a 401(k) plan, a monthly education stipend, flexible PTO, and much more.</li>

</div>

<div>

<li>We care deeply about our learners: We let our learner's needs guide our actions and decisions and put our mission ahead of ourselves.</li>
<li>We are great at what we do: We strive for excellence in all dimensions, especially in the quality of the content we create and the people we hire.</li>
<li>We default to action: We are comfortable acting with limited information and taking ownership of our decisions.&nbsp;</li>
<li>We ask why: We ask the hard questions and are open to being in the wrong. We advocate for the best ideas, not our ideas.&nbsp;</li>
<li>We are honest and authentic: We are transparent as an organization, over-communicate to build trust, and share our failures just as we do our successes.</li>
<li>We do this together: We help each other grow and succeed and have fun at work, even in a remote environment.</li>

</div>

<div><strong>About DeepLearning.AI:</strong></div>
<div><br>AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, particularly in the realm of GenAI, and we’re building an education platform to train them. With a mission to grow and connect the global AI community, DeepLearning.AI is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community. We’re a small tech company with serious credentials, exciting marketing challenges, and wonderful teammates.</div>
<div>&nbsp;</div>
<div><strong>Why we need you:</strong></div>
<div><br>We have a lot of data - across our learning platform, Stripe, HubSpot, PostHog, customer.io, website analytics, NPS surveys, and more - and strong engineering capacity. We know the broad shape of the questions we want to answer, spanning topics such as growth, retention, monetization, and product engagement. We’re now looking to build a solid analytical layer - someone to translate our business questions into the right metrics, dig into the data to actually answer them, and - as a byproduct - leave behind a clean, durable data foundation that gets stronger with each cycle.</div>
<div><br>We are looking for a short-term consultant to work directly with our COO and business units leaders on the above, be able to generate value in week one and build the architecture iteratively against real questions.&nbsp;</div>

<div><strong>About DeepLearning.AI:</strong></div>
<div><br>AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, particularly in the realm of GenAI, and we&rsquo;re building an education platform to train them. With a mission to grow and connect the global AI community, DeepLearning.AI is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community. We&rsquo;re a small tech company with serious credentials, exciting marketing challenges, and wonderful teammates.</div>
<div>&nbsp;</div>
<div><strong>Why we need you:</strong></div>
<div><br>We have a lot of data - across our learning platform, Stripe, HubSpot, PostHog, customer.io, website analytics, NPS surveys, and more - and strong engineering capacity. We know the broad shape of the questions we want to answer, spanning topics such as growth, retention, monetization, and product engagement. We&rsquo;re now looking to build a solid analytical layer - someone to translate our business questions into the right metrics, dig into the data to actually answer them, and - as a byproduct - leave behind a clean, durable data foundation that gets stronger with each cycle.</div>
<div><br>We are looking for a short-term consultant to work directly with our COO and business units leaders on the above, be able to generate value in week one and build the architecture iteratively against real questions.&nbsp;</div>

<div>
<p>You'll be partnering and working closely with our COO and our data team from day one - not handing off specs for the team to build but rather doing real hands-on collaborative work (SQL, dbt, Python, whatever the right tool is).</p>
<p>The model we have in mind:</p>

<li>
<p><strong>First week:</strong> lightweight orientation on existing pipelines, warehouse, and Metabase setup. Stakeholder conversations with leaders across Product, Marketing and other teams. Align on the first ~10 most important metrics and questions to tackle.</p>
</li>
<li>
<p><strong>2nd week onwards:</strong> work through that first batch - define the metrics precisely, perform EDA to answer the questions (including the <em>why</em> behind them and any obviously related questions), ship dashboards or analyses that stakeholders can use, and as you go, build out the data models, naming conventions, and pipeline pieces needed to support those metrics durably. Then move to another batch of ~10, then another, and another, …</p>
</li>

<p>With each cycle, we’ll uncover real answers to real business questions, and gain incremental, well-designed foundations that the next cycle can build on.</p>
</div>

<div>
<p>We need quick value generated, not beautiful summary decks and long documents.</p>

<li>
<p>Answered business questions with the reasoning behind them, in whatever format makes them usable.</p>
</li>
<li>
<p>Working data models, transformations, and naming conventions that support those answers durably and that the next cycle can build on (as a byproduct of answering business questions iteratively).</p>
</li>
<li>
<p>A lightweight running, living view of what's been built and what's coming next - only as needed for us to always know where we are.</p>
</li>

</div>

<div>

<li>
<p>3+ years of experience as a data scientist with a strong analytical instinct, ability to translate ambiguous business questions into well-defined metrics and the judgment to know which questions are actually worth answering.</p>
</li>
<li>
<p>AI-native builder, leveraging latest tools and AI-assisted coding to dramatically accelerate productivity. Hands-on with SQL and Python, and comfortable doing real EDA.</p>
</li>
<li>
<p>Enough engineering chops to collaborate with our data eng team and make sound calls about data modeling, naming, and transformation layer design.</p>
</li>
<li>
<p>Comfortable asking questions, making suggestions and pushing back in executive meetings.</p>
</li>
<li>
<p>A practical bias - natural tendency to close projects and answer questions iteratively as opposed to designing long and multi-step projects.</p>
</li>
<li>
<p>Bonus: familiarity with the platforms and data sources we use (Stripe, HubSpot, PostHog, customer.io, Google Analytics).</p>
</li>

</div>

<div>This is a Month-to-month contract engagement, in-office in Mountain View.</div>

<p>AI is the new electricity, transforming every aspect of our lives. DeepLearning.AI is on a mission to empower everyone to build with AI. We offer world-class education, hands-on training, access to AI news, a collaborative community and global in-person conferences.</p>
<p><span style="font-size: 11pt; font-family: Arial, sans-serif; background-color: #ffffff;">We’re seeking a motivated and detail-oriented <strong>Director of Finance</strong> to own and revamp the financial infrastructure for our growing multi-entity organization. You are our ideal candidate if you have participated in building or rebuilding of finance functions from the ground up, are hands-on with modern accounting tools and consolidation workflows, and bring a strong working knowledge of and appetite to continue learning how AI can accelerate financial operations.</span></p>
<p><span style="font-size: 11pt; font-family: Arial, sans-serif; background-color: #ffffff;">&nbsp;Reporting directly to the COO, you will lead consolidated reporting, FP&amp;A, and accounting operations while managing a small team and partnering with external service providers. This is a high-trust, high-ownership role for a finance leader who thrives in ambiguity, moves fast, and is deeply excited about building financial systems that scale. </span></p>
<p><span style="font-size: 11pt; font-family: Arial, sans-serif; background-color: #ffffff;">This role is 5 days/week in our Mountain View office.</span></p>
<div><span style="font-size: 11pt; font-family: Arial, sans-serif; background-color: #ffffff;"><br><br></span></div>

<p>AI is the new electricity, transforming every aspect of our lives. DeepLearning.AI is on a mission to empower everyone to build with AI. We offer world-class education, hands-on training, access to AI news, a collaborative community and global in-person conferences.</p>
<p><span style="font-size: 11pt; font-family: Arial, sans-serif; background-color: #ffffff;">We&rsquo;re seeking a motivated and detail-oriented <strong>Director of Finance</strong> to own and revamp the financial infrastructure for our growing multi-entity organization. You are our ideal candidate if you have participated in building or rebuilding of finance functions from the ground up, are hands-on with modern accounting tools and consolidation workflows, and bring a strong working knowledge of and appetite to continue learning how AI can accelerate financial operations.</span></p>
<p><span style="font-size: 11pt; font-family: Arial, sans-serif; background-color: #ffffff;">&nbsp;Reporting directly to the COO, you will lead consolidated reporting, FP&amp;A, and accounting operations while managing a small team and partnering with external service providers. This is a high-trust, high-ownership role for a finance leader who thrives in ambiguity, moves fast, and is deeply excited about building financial systems that scale. </span></p>
<p><span style="font-size: 11pt; font-family: Arial, sans-serif; background-color: #ffffff;">This role is 5 days/week in our Mountain View office.</span></p>
<div><span style="font-size: 11pt; font-family: Arial, sans-serif; background-color: #ffffff;"><br><br></span></div>

AI is the new electricity, transforming every aspect of our lives. DeepLearning.AI is on a mission to empower everyone to build with AI. We offer world-class education, hands-on training, access to AI news, a collaborative community and global in-person conferences.
We’re seeking a motivated and detail-oriented Director of Finance to own and revamp the financial infrastructure for our growing multi-entity organization. You are our ideal candidate if you have participated in building or rebuilding of finance functions from the ground up, are hands-on with modern accounting tools and consolidation workflows, and bring a strong working knowledge of and appetite to continue learning how AI can accelerate financial operations.
 Reporting directly to the COO, you will lead consolidated reporting, FP&A, and accounting operations while managing a small team and partnering with external service providers. This is a high-trust, high-ownership role for a finance leader who thrives in ambiguity, moves fast, and is deeply excited about building financial systems that scale. 
This role is 5 days/week in our Mountain View office.




<div>

<li>
<p><strong>Own consolidated financial reporting</strong> - lead reporting across several domestic and off-shore entities and intercompany relationships. Deliver executive-ready financials to the COO and CEO within the 30-day close target.</p>
</li>
<li>
<p><strong>Design and implement financial infrastructure</strong> - work with the COO to select and migrate platforms, redesign processes, and build the systems needed to support a growing multi-entity operation. You will build, not just operate.</p>
</li>
<li>
<p><strong>Build and maintain the FP&amp;A function</strong> - own budgets, forecasts, variance analysis, and dashboards. Translate financial data into clear insights that drive resource allocation and strategic decisions.</p>
</li>
<li>
<p><strong>Lead the monthly and quarterly close process</strong> - manage the end-to-end close, ensuring accuracy and timeliness. Supervise the accounting team on day-to-day operations and serve as the point of escalation.</p>
</li>
<li>
<p><strong>Advise the COO and CEO on financial strategy</strong> - be a trusted thought partner on resource allocation, investment decisions, and financial planning.</p>
</li>
<li>
<p><strong>Leverage AI to accelerate financial operations</strong> - build and maintain financial automations using Google AppsScript, AI tools, and API integrations to reduce manual work while maintaining accuracy, consistent with DeepLearning.AI’s AI-first operating philosophy.</p>
</li>

</div>

As DeepLearning.AI’s Director of Finance, you will:

<div>

<li>
<p>Write code (with AI help is ok), work with Google AppsScript and financial tools APIs, and leverage AI tools to automate financial processes and reduce manual work.</p>
</li>
<li>
<p>Communicate clearly and translate complex financial data into actionable insights for non-finance executives.</p>
</li>
<li>
<p>Manage external relationships with tax advisors, auditors, insurance providers, and outsourced bookkeepers.</p>
</li>

</div>

In addition to having the skills to perform the duties above, you can also:

<div>

<li>
<p>6+ years in finance, with at least 2 to 3 in a multi-entity environment (VC-backed or founder-led tech preferred).</p>
</li>
<li>
<p>Has built or rebuilt financial infrastructure, not just operated within one - including platform selection, process redesign, and consolidation workflows.</p>
</li>
<li>
<p>Hands-on experience with QBO/Intuit ecosystem, modern FP&amp;A tools, and multi-entity consolidation.</p>
</li>

</div>

<div>

<li>
<p>Experience with transfer pricing, international tax (e.g., Taiwan subsidiary), and revenue recognition under ASC 606.</p>
</li>
<li>
<p>Startup or founder-led company experience, with comfort operating in a lean, frugal, fast-moving environment.</p>
</li>
<li>
<p>Experience managing or partnering with Big Four advisory firms.</p>
</li>

</div>

<div>

<li>Join a world-class team of experts across marketing, operations, product, and more - working to change the world.</li>
<li>Collaborate globally with colleagues across cultures and geographies.</li>
<li>Bring high-impact ideas to life with the freedom to be exceptionally creative.</li>
<li>Work directly with AI visionary Andrew Ng and help shape the future of AI education at scale.</li>

</div>

<div>

<li><strong>We care deeply about our learners:</strong> We let our learner's needs guide our actions and decisions and put our mission ahead of ourselves.</li>
<li><strong>We are great at what we do:</strong> We strive for excellence in all dimensions, especially in the quality of the content we create and the people we hire.</li>
<li><strong>We default to action:</strong> We are comfortable acting with limited information and taking ownership of our decisions.</li>
<li><strong>We ask why:</strong> We ask the hard questions and are open to being in the wrong. We advocate for the best ideas, not our ideas.</li>
<li><strong>We are honest and authentic:</strong> We are transparent as an organization, over-communicate to build trust, and share our failures just as we do our successes.</li>
<li><strong>We do this together:</strong> We help each other grow and succeed and have fun at work, even in a remote environment.</li>

</div>

<div>

<li>DeepLearning.AI offers a comprehensive benefits package including medical, dental, and vision coverage, a 401(k) plan, a monthly education stipend, flexible PTO, and much more.</li>

</div>

<div>
<p>AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, particularly in the realm of GenAI, and we’re building an education platform to train them. With a mission to grow and connect the global AI community,&nbsp;<a rel="noopener noreferrer" href="http://deeplearning.ai/">DeepLearning.AI</a> is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, a collaborative community and in-person global conferences. We’re a small tech company with serious credentials, exciting challenges, and wonderful teammates.</p>
We’re seeking an entrepreneurial and AI-passionate <strong>General Manager for our AI Dev line of global conferences</strong> to build and scale DeepLearning.AI’s AI events business into a flagship brand for the global AI developer community.</div>
<div>&nbsp;</div>
<div>You are our ideal candidate if you have a deep passion for AI, strong instincts for what developers care about, and a track record of building new business lines or programs from the ground up.</div>
<div>&nbsp;</div>
<div>Reporting directly to Andrew Ng, you will own the end-to-end strategy and execution of large-scale AI events - from content and speaker curation to sponsorships, partnerships, logistics, and revenue.</div>
<div>&nbsp;</div>
<div>This is a high-ownership role for a builder who thrives in ambiguity, moves fast across functions, and is excited about creating world-class experiences that bring the AI community together.</div>
<div>&nbsp;</div>
<div>This role is 5 days/week in our Mountain View office with ability to travel domestically and internationally for a total of a few weeks every year.&nbsp;</div>

<div>
<p>AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, particularly in the realm of GenAI, and we&rsquo;re building an education platform to train them. With a mission to grow and connect the global AI community,&nbsp;<a href="http://deeplearning.ai/" rel="noopener noreferrer">DeepLearning.AI</a> is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, a collaborative community and in-person global conferences. We&rsquo;re a small tech company with serious credentials, exciting challenges, and wonderful teammates.</p>
We&rsquo;re seeking an entrepreneurial and AI-passionate <strong>General Manager for our AI Dev line of global conferences</strong> to build and scale DeepLearning.AI&rsquo;s AI events business into a flagship brand for the global AI developer community.</div>
<div>&nbsp;</div>
<div>You are our ideal candidate if you have a deep passion for AI, strong instincts for what developers care about, and a track record of building new business lines or programs from the ground up.</div>
<div>&nbsp;</div>
<div>Reporting directly to Andrew Ng, you will own the end-to-end strategy and execution of large-scale AI events - from content and speaker curation to sponsorships, partnerships, logistics, and revenue.</div>
<div>&nbsp;</div>
<div>This is a high-ownership role for a builder who thrives in ambiguity, moves fast across functions, and is excited about creating world-class experiences that bring the AI community together.</div>
<div>&nbsp;</div>
<div>This role is 5 days/week in our Mountain View office with ability to travel domestically and internationally for a total of a few weeks every year.&nbsp;</div>

AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, particularly in the realm of GenAI, and we’re building an education platform to train them. With a mission to grow and connect the global AI community, DeepLearning.AI is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, a collaborative community and in-person global conferences. We’re a small tech company with serious credentials, exciting challenges, and wonderful teammates.
 We’re seeking an entrepreneurial and AI-passionate General Manager for our AI Dev line of global conferences to build and scale DeepLearning.AI’s AI events business into a flagship brand for the global AI developer community.
 
You are our ideal candidate if you have a deep passion for AI, strong instincts for what developers care about, and a track record of building new business lines or programs from the ground up.
 
Reporting directly to Andrew Ng, you will own the end-to-end strategy and execution of large-scale AI events - from content and speaker curation to sponsorships, partnerships, logistics, and revenue.
 
This is a high-ownership role for a builder who thrives in ambiguity, moves fast across functions, and is excited about creating world-class experiences that bring the AI community together.
 
This role is 5 days/week in our Mountain View office with ability to travel domestically and internationally for a total of a few weeks every year. 


<div>

<li>
<p><strong>Own the AI events business strategy</strong> - develop and execute the vision for DeepLearning.AI’s events business, including product direction, event formats, content, revenue goals, and a roadmap for scaling into a standalone business line.</p>
</li>
<li>
<p><strong>Lead planning and delivery of flagship events</strong> - drive end-to-end execution of large-scale AI developer events, from concept and speaker curation to logistics, marketing, and post-event follow-through.</p>
</li>
<li>
<p><strong>Build and optimize cross-functional workflows</strong> - coordinate work with marketing, sponsor and speaker partnerships, event production logistics, finance, and content teams to deliver seamless events. Establish repeatable processes that scale.</p>
</li>
<li>
<p><strong>Drive revenue and growth opportunities</strong> - identify and pursue monetization models including sponsorships, ticketing, content partnerships, and new event formats.</p>
</li>
<li>
<p><strong>Curate world-class content and speakers</strong> - develop event agendas that deliver deep, practical, hands-on technical learning experiences that AI developers genuinely value. Leverage and nurture DeepLearning.AI’s brand and network to attract top speakers and thought leaders.</p>
</li>
<li>
<p><strong>Manage vendors, partners, and operational capacity</strong> - work with internal and external partners to scale event operations. Own vendor relationships, budgets, and the operational infrastructure needed to grow the business.</p>
</li>
<li>
<p><strong>Build and lead the events team</strong> - recruit and develop a high-performing team as the business grows. Define team structure, roles, and metrics to support long-term scaling.</p>
</li>

</div>

As DeepLearning.AI’s GM, AI Dev, you will:

<div>

<li>
<p>Understand the AI developer community deeply - what developers care about, what motivates them, and how they prefer to learn and connect. If you are a member of the developer community yourself, that would be ideal.&nbsp;</p>
</li>
<li>
<p>Comfortable coding with AI and working with AI tools, and hunger to continue learning, to accelerate your own and the team’s productivity.</p>
</li>
<li>
<p>Take an initiative from concept to execution, working cross-functionally and navigating ambiguity with a bias toward action.</p>
</li>
<li>
<p>Build and optimize operational systems for large-scale events, including logistics, vendor management, and cross-functional coordination.</p>
</li>
<li>
<p>Develop and execute revenue strategies across sponsorships, ticketing, content partnerships, and new event formats.</p>
</li>
<li>
<p>Curate compelling event content and speaker lineups that deliver practical, hands-on value to technical audiences.</p>
</li>
<li>
<p>Recruit, develop, and lead high-performing teams while fostering a culture of ownership and collaboration.</p>
</li>
<li>
<p>Strong entrepreneurial mindset&nbsp; - comfortable building from scratch, wearing multiple hats, and iterating quickly based on feedback and traction.</p>
</li>

</div>

<div>

<li>
<p>At least 7 years of professional experience.</p>
</li>
<li>
<p>Including 3+ years in operations, general management, business building, or event leadership, event production, sponsorships, partnerships, or monetization models (AI/tech events strongly preferred).</p>
</li>
<li>
<p>Demonstrated experience taking new initiatives from concept to execution in fast-paced, cross-functional environments.</p>
</li>

</div>

<div>

<li>
<p>Deep familiarity with the AI event and conference landscape (e.g., academic conferences like NeurIPS/ICML/ICLR, Google I/O, Hugging Face events).</p>
</li>
<li>
<p>Experience building a new business line or revenue stream from the ground up.</p>
</li>
<li>
<p>Background in developer marketing, developer relations, or technical community building.</p>
</li>

</div>

<p>AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, and we’re building the training and tools to support them. Our mission is to empower everyone to build with AI. We have deep connections throughout the AI community, exciting technology, and wonderful teammates, and are seeking a lead engineer to join us on the Context Hub project.</p>
<p>We recently launched Context Hub, an open-source CLI tool that gives AI coding agents the up-to-date API documentation they need—solving the critical problem of agents hallucinating outdated APIs and parameters. Context Hub gained over 10,000 GitHub stars in its first two weeks, making it one of the fastest-growing open-source developer tools in the AI ecosystem. Published as @aisuite/chub on npm and MIT-licensed, the project already has thousands of curated API docs contributed by the community and is growing fast. Additionally, we are evolving Context Hub toward being a Stack Overflow for agents, where agentic feedback on the documentation will be used to help all other agents.&nbsp;&nbsp;</p>
<p>We’re looking for a visiting AI Engineer to join the Context Hub team to lead the next stage of its development. This will shape the future of how AI coding agents gather context, write code, and give feedback that helps the whole community. . You’ll work directly with Andrew Ng and our team on the core product—building features that are used by thousands of developers and their AI coding agents every day.&nbsp;</p>
<p>This is a hands-on engineering role where you’ll design and build infrastructure, improve how agents discover and consume documentation, and help grow Context Hub from a powerful CLI into a comprehensive knowledge sharing platform for AI agents.</p>
<p>If you are who we look for, you are highly GenAI-enabled, leverage AI-powered tools to build and ship quickly, and bring deep curiosity about AI agents and developer tooling, and a passion for open source.</p>
<p>You must already have authorization to work in the United States. This is a contract role with potential for growth.</p>

<p>AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, and we&rsquo;re building the training and tools to support them. Our mission is to empower everyone to build with AI. We have deep connections throughout the AI community, exciting technology, and wonderful teammates, and are seeking a lead engineer to join us on the Context Hub project.</p>
<p>We recently launched Context Hub, an open-source CLI tool that gives AI coding agents the up-to-date API documentation they need&mdash;solving the critical problem of agents hallucinating outdated APIs and parameters. Context Hub gained over 10,000 GitHub stars in its first two weeks, making it one of the fastest-growing open-source developer tools in the AI ecosystem. Published as @aisuite/chub on npm and MIT-licensed, the project already has thousands of curated API docs contributed by the community and is growing fast. Additionally, we are evolving Context Hub toward being a Stack Overflow for agents, where agentic feedback on the documentation will be used to help all other agents.&nbsp;&nbsp;</p>
<p>We&rsquo;re looking for a visiting AI Engineer to join the Context Hub team to lead the next stage of its development. This will shape the future of how AI coding agents gather context, write code, and give feedback that helps the whole community. . You&rsquo;ll work directly with Andrew Ng and our team on the core product&mdash;building features that are used by thousands of developers and their AI coding agents every day.&nbsp;</p>
<p>This is a hands-on engineering role where you&rsquo;ll design and build infrastructure, improve how agents discover and consume documentation, and help grow Context Hub from a powerful CLI into a comprehensive knowledge sharing platform for AI agents.</p>
<p>If you are who we look for, you are highly GenAI-enabled, leverage AI-powered tools to build and ship quickly, and bring deep curiosity about AI agents and developer tooling, and a passion for open source.</p>
<p>You must already have authorization to work in the United States. This is a contract role with potential for growth.</p>

AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, and we’re building the training and tools to support them. Our mission is to empower everyone to build with AI. We have deep connections throughout the AI community, exciting technology, and wonderful teammates, and are seeking a lead engineer to join us on the Context Hub project.
We recently launched Context Hub, an open-source CLI tool that gives AI coding agents the up-to-date API documentation they need—solving the critical problem of agents hallucinating outdated APIs and parameters. Context Hub gained over 10,000 GitHub stars in its first two weeks, making it one of the fastest-growing open-source developer tools in the AI ecosystem. Published as @aisuite/chub on npm and MIT-licensed, the project already has thousands of curated API docs contributed by the community and is growing fast. Additionally, we are evolving Context Hub toward being a Stack Overflow for agents, where agentic feedback on the documentation will be used to help all other agents.  
We’re looking for a visiting AI Engineer to join the Context Hub team to lead the next stage of its development. This will shape the future of how AI coding agents gather context, write code, and give feedback that helps the whole community. . You’ll work directly with Andrew Ng and our team on the core product—building features that are used by thousands of developers and their AI coding agents every day. 
This is a hands-on engineering role where you’ll design and build infrastructure, improve how agents discover and consume documentation, and help grow Context Hub from a powerful CLI into a comprehensive knowledge sharing platform for AI agents.
If you are who we look for, you are highly GenAI-enabled, leverage AI-powered tools to build and ship quickly, and bring deep curiosity about AI agents and developer tooling, and a passion for open source.
You must already have authorization to work in the United States. This is a contract role with potential for growth.



<li>
<p>Own Context Hub end to end. You'll be the single-threaded leader for the product — responsible for its technical direction, growth strategy, and community health. You won't be handed a roadmap; you'll create it.</p>
</li>
<li>
<p>Talk to developers and understand what they need. The best product decisions come from deep empathy with users. You'll engage directly with the developer community — through GitHub issues, user interviews, and usage data — to identify what to build next and why.</p>
</li>
<li>
<p>Invent new ways for AI agents to discover and use knowledge. Context Hub started as a CLI for fetching docs, but there's enormous room to push further: smarter retrieval, agent-to-agent knowledge sharing, self-improving documentation, private team contexts, and ideas we haven't thought of yet. You'll explore the frontier.</p>
</li>
<li>
<p>Build and maintain the Context Hub CLI and core infrastructure, ensuring reliability and performance as usage scales across thousands of developers.</p>
</li>
<li>
<p>Design and implement systems for intelligent documentation retrieval, versioning, and curation so that agents always get the most accurate and relevant context.</p>
</li>
<li>
<p>Develop features that allow agents to annotate, enrich, and share knowledge across sessions—building toward a self-improving documentation ecosystem (the “Stack Overflow for AI coding agents” vision).</p>
</li>
<li>
<p>Collaborate with the open-source community to review contributions, triage issues, and maintain a high-quality contributor experience.</p>
</li>
<li>
<p>Experiment with LLM-based approaches to automatically validate, summarize, and improve documentation quality.</p>
</li>
<li>
<p>Instrument, monitor, and optimize the tool’s performance and developer experience based on real-world usage patterns.</p>
</li>
<li>
<p>Work closely with Andrew Ng and the engineering team to define the product roadmap and technical direction for Context Hub.</p>
</li>
<li>
<p>Collaborate with internal teams to create content, processes, and AI-powered solutions for scalable support of the developer community around Context Hub.</p>
</li>



<li>
<p>Product sense for developer tools. You understand what makes developers adopt (and love) a tool. You've shipped something that other developers use — whether it's an open-source project, a CLI, an SDK, or an internal platform — and you made decisions about what to build, not just how to build it.</p>
</li>
<li>
<p>Community instincts. You know how open-source communities work — what motivates contributors, how to write docs that people actually read, and how to turn users into advocates. You're comfortable being a public face for a project.</p>
</li>
<li>
<p>Strong proficiency in TypeScript/JavaScript and Node.js, with experience building and shipping CLI tools, developer SDKs, or developer-facing infrastructure.</p>
</li>
<li>
<p>Very strong&nbsp; understanding of LLMs and AI coding agents—you’ve built applications that integrate with or orchestrate language models, and you stay current with the rapidly evolving AI tooling landscape.</p>
</li>
<li>
<p>Experience with npm package publishing, versioning, and open-source project maintenance.</p>
</li>
<li>
<p>Strong systems thinking: you can design APIs, data models, and architectures that are clean, extensible, and well-documented.</p>
</li>
<li>
<p>AI fluency: Strong conceptual understanding of AI trends and technologies. Familiarity and experience with AI-powered coding tools such as Claude Code, Codex or similar—having built or prototyped software with AI assistance.</p>
</li>
<li>
<p>Entrepreneurial mindset: Self-starter comfortable working in a fast-paced, small-team environment where you own projects end to end and thrive in ambiguity.</p>
</li>
<li>
<p>3+ years of professional software engineering experience.</p>
</li>


<ul style="margin-top: 0px; margin-bottom: 0px; padding-inline-start: 48px;">
<li style="font-size: 11pt; font-family: Arial, sans-serif; color: #1f2937;">
<p style="line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;"><span style="font-size: 11pt;">Experience maintaining a popular open-source project (1,000+ stars).</span></p>
</li>
<li style="font-size: 11pt; font-family: Arial, sans-serif; color: #1f2937;">
<p style="line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;"><span style="font-size: 11pt;">Background in information retrieval, search, or knowledge graph systems.</span></p>
</li>
<li style="font-size: 11pt; font-family: Arial, sans-serif; color: #1f2937;">
<p style="line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;"><span style="font-size: 11pt;">Experience with MCP (Model Context Protocol), tool-use frameworks, or agent orchestration platforms.</span></p>
</li>
<li style="font-size: 11pt; font-family: Arial, sans-serif; color: #1f2937;">
<p style="line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;"><span style="font-size: 11pt;">Familiarity with documentation-as-code workflows and static site generators.</span></p>
</li>
<li style="font-size: 11pt; font-family: Arial, sans-serif; color: #1f2937;">
<p style="line-height: 1.2; margin-top: 0pt; margin-bottom: 4pt;"><span style="font-size: 11pt;">Graduate degree (Master’s or PhD) in Computer Science, AI, or a related field.</span></p>
</li>
</ul>

Careers

AI Engineer

Curriculum Product Manager

Data Science Consultant

Finance Director

GM of Events, AI Dev Conference

Visiting Engineer - ContextHub