AI Engineer

Responsibilities

Develop new AI products and features to be integrated into platform learning experiences and content creation workflows. Collaborate with a small team to build full-stack applications using GenAI tools and iterate rapidly on product ideas.

Requirements

Requires a strong technical background in software development, scalable cloud deployment, and proficiency with GenAI frameworks and LLM APIs. Candidates must be able to work independently, communicate effectively, and demonstrate experience in AI/LLM projects.

Skills

• Software development
• Machine learning
• Generative AI
• Prompt engineering
• RAG
• Python
• React
• TypeScript
• JavaScript
• HTML
• CSS
• Tailwind
• Agentic frameworks
• Cloud services
• Database management
• LLM APIs

About this role

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 [http://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 [http://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 [http://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
[http://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.