AI Engineer
AI Fund · Mountain View, CA · 1 mo ago
Engineering$130k–$175k/yrFull-time
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.
Responsibilities
- 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.
Requirements
- 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 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 tool calling, agentic workflows, RAG, finetuning, and using popular frameworks/APIs for these things.
- Strong early career experience in software development and AI/LLM projects, from formal study, internships, previous work experience, or side projects.
- Excellent communicator and team player with strong English language skills.
Skills
- While you may not be an expert in all areas, you should demonstrate deep technical understanding of at least a couple of the following and conceptual understanding of the rest:
- Prompt engineering
- RAG
- Finetuning
- Agentic workflows
- Evals and guardrails
Benefits
- Being part of a world-class team of education and AI experts trying to change the world.
- Work across cultural and geographical lines alongside offices in different parts of the world.
- The opportunity to be exceptionally creative with your high-impact ideas.
About the role
- We care deeply about our learners: We let our learners' 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.
Pay
At $130,000 - $175,000 a year