Only apply if you have built and shipped AI systems to production.
Irrelevant application might negatively impact your future applications.
We’re looking for an AI Engineer who can take solutions from idea → prototype → production → scale.
What you’ll do
- Build and deploy GenAI/LLM, RAG and Agentic AI systems.
- Own AI solutions end-to-end, from architecture to production.
- Work with product and business teams to solve real-world problems with AI.
- Build reliable, scalable systems in a fast-paced startup environment.
What we’re looking for
- 2+ years of hands-on GenAI experience.
- 2+ AI use cases shipped to production.
- Strong Python & SQL skills.
- Hands-on experience with RAG / Agentic AI.
- Experience with AWS GenAI stack, especially Bedrock and AgentCore.
- Strong end-to-end deployment and scaling experience.
- High ownership, learning velocity, and bias toward execution.
- The key requirement: You’ve actually shipped AI systems to production and can explain what you built, how you deployed it, and the impact it created.