AI Fund
AI Engineer
About this role
DeepLearning.AI seeks an AI Engineer to develop generative AI products and features for their education platform. You'll work in a small, fast-paced team building full-stack applications that transform how people learn to build with AI, combining software engineering with cutting-edge AI techniques.
What you'll do
- Develop AI-powered products and features integrated into platform learning experiences and content workflows
- Build full-stack applications using generative AI tools with rapid iteration cycles
- Apply GenAI techniques including prompt engineering, RAG, finetuning, and agentic frameworks to real-world development
- Quickly learn and adopt new AI and software technologies as they emerge
- Communicate project status proactively and collaborate with small cross-functional team
- Own development of new software components from prototype to production-ready code
What they're looking for
- Full-stack software development with Python backend and JavaScript/React/TypeScript frontend
- Cloud deployment and scalable application architecture
- Generative AI frameworks and tools (prompt engineering, RAG, finetuning, agentic workflows, evals, guardrails)
- LLM APIs and tool-calling patterns
- Relational, NoSQL, graph, and vector databases
- AI coding assistants (Claude, Codex, Gemini)
- Strong English communication and team collaboration
- Machine learning and AI fundamentals
Benefits
- Work with world-class team of education and AI experts on mission-driven impact
- Collaborate across global offices and cultures
- High autonomy for creative, high-impact work
- Opportunity to shape the future of AI education
- Inclusive, values-driven company culture emphasizing honesty and action
- In-person office environment in Mountain View, California
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AI Fund
AI Fund builds and invests in AI-powered applications spanning healthcare, productivity, manufacturing, and developer tools. The company is hiring AI Engineers, ML specialists, and full-stack engineers to deploy production machine learning solutions, develop AI-driven platforms for chronic care and business intelligence, and contribute to open-source AI infrastructure projects.
View all jobs at AI FundLikely interview questions
- Walk us through a project where you built a full-stack application using generative AI tools. How did you approach prompt engineering, and what challenges did you encounter?
- Describe your experience with RAG, finetuning, or agentic frameworks. Can you give a concrete example of how you applied one of these to solve a problem?