About the Role
We're looking for a hands-onApplied AI Engineerwho lives and breathes LLMs. This isnt a research role youll be solving real-world problems, shipping features, and building production-ready systems that make our agent smarter every week.
What Youll Do
- Build LLM-powered systems: prompt chains, retrieval pipelines, eval frameworks
- Work across the stack from prototypes to production
- Own components like test generation, code summarization, context pruning, etc.
- Keep up with the latest in AI research, RAG, fine-tuning, and evals and use them
- Work closely with founders and engineers to shape the direction of our product
Youll Thrive Here If
- Youve shipped LLM-based features or side projects before
- Youve worked with RAG, fine-tuning, or synthetic data generation
- Youre comfortable reading papers and implementing them fast
- You care about clean engineering, not just demos
- You want to build a 0-to-1 product that people actually use
Tech Stack
Python, Typescript, LangChain, OpenAI, Claude, Pinecone/Chroma, Postgres, AWS
Perks
- Competitive salary and generous equity
- High ownership, no bureaucracy
- Work with founders and core team closely
- Fast shipping, real customers, and a big vision
