AI Engineer
$130k - $175k • Mountain View, CA • Full time
Posted 5mo ago
Job Location
Mountain View, CA
Tech Stack
Remote Work Policy
On-site
Employment Type
Full time
Categories
AI Engineer
About the job
DeepLearning.AI is seeking an AI Engineer to join its newly formed Learning Experience Lab. This role involves leveraging expertise in software and machine learning to build the future of education technology. The ideal candidate will contribute to developing new AI products and features for platform learning experiences and content creation workflows. This is an in-person, in-office role located in Mountain View, California, open to candidates based in the United States who possess or are eligible for U.S. work authorization.
Responsibilities
- Develop new AI products and features for platform learning experiences and content creation workflows.
- Collaborate with a small team to rapidly iterate and ship new products and features.
- Drive engineering efforts to build full-stack applications using GenAI tools.
- Apply GenAI building blocks such as prompt engineering, RAG, finetuning, agentic frameworks, evals, and guardrails to real-world development.
- Proactively learn new technologies in the AI space and other areas.
- Maintain organized work, communicate project status regularly, and seek help or feedback proactively.
Requirements
- Technical background in software development and scalable application deployment on cloud services.
- Ability to independently develop new software components and integrate them into larger projects.
- Proficiency in using AI coding tools for rapid prototyping and refining codebases.
- Proficiency with GenAI tools and frameworks including prompt engineering, RAG, finetuning, agentic workflows, evals, and guardrails.
- Experience with front-end technologies like JavaScript, HTML, CSS, 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, especially using LLM APIs and frameworks for tool calling, agentic workflows, RAG, and finetuning.
- Demonstrated deep technical understanding of at least a couple of GenAI areas and conceptual understanding of the rest.
- Strong early career experience in software development and AI/LLM projects.
- Excellent communication and teamwork skills with strong English language proficiency.
Benefits
- Being part of a world-class team of education and AI experts.
- Opportunity to work across cultural and geographical lines.
- Opportunity to be exceptionally creative with high-impact ideas.