AI Engineer

Job Description

Job Description

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.