AI Engineer

Summary

Join DeepLearning.AI as a contract AI Engineer in our Learning Experience Lab and help build the future of education. Leverage your expertise in software and machine learning to develop new AI features for our platform. Use cutting-edge AI technologies to create innovative learning experiences and workflows. Collaborate with a small team to iterate and ship new features quickly. This remote contractor position is open to US-based candidates who can work within 3 time zones of California. A passion for education is a plus.

Requirements

• Technical background in software development, mainly in Python – able to independently develop new software components and integrate them into larger projects. You know how to write clean, robust code and use version control to contribute to a larger project
• Technical familiarity with machine learning, particularly using LLM APIs and frameworks as part of your work. You should be comfortable and have experience using LLMs in ways that go far beyond just prompting at the chat interface. These include 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

Responsibilities

• Develop new AI features to be incorporated into platform learning experiences and content creation workflows
• Use cutting-edge AI technologies to build learning experiences and creative workflows that have never existed before
• Work with a small team to quickly iterate and ship new features
• Learning quickly when it comes to new technologies in the AI space as well as technologies that are new to you
• Regularly communicating out the status of your work and asking for help or feedback proactively
• Thinking proactively about how a feature or other piece of technology can be improved
• Being organized in your work and collaborating on bigger projects to which you are contributing a critical piece

Preferred Qualifications

• Background or expertise in education and / or development of educational technology
• Experience with application deployment / cloud services

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 our offices in different parts of the world
• The opportunity to be exceptionally creative with your high-impact ideas