AI Native Engineer
Summary
Designs and builds AI-powered applications, APIs, and RAG pipelines using LLMs and foundation models, while evaluating models and prototyping new solutions.
- Build applications using LLMs and foundation model APIs
- Build backend services and APIs for AI applications
- Build integrations with third party APIs and internal data sources
- Build model evaluations and testing processes
- Design and build AI products tools and features
- Design and implement RAG pipelines
- Develop AI agents and multi step workflows
- Evaluate models for accuracy latency cost and reliability
- Prototype ideas and test solutions
- Stay current on new AI models and developer tools
Perks/Benefits:
- Flexible independent work
- In person working sessions