Requirements
- 5+ years of engineering experience, with at least 2–4 years spent primarily building and shipping LLM-powered products
- Strong hands-on experience applying modern LLMs in production environments - not just experimentation or research
- Experience building agentic workflows or complex multi-step LLM systems
- Experience leading technical initiatives or owning major AI product areas with high autonomy
- Experience working with evaluation pipelines, model monitoring, or AI reliability systems
- A strong product mindset and intuition for building AI experiences that create real user value
- Experience operating in fast-moving startup environments with high ownership and ambiguity
- Strong software engineering fundamentals and ability to build high-quality systems end-to-end
- Experience with technologies such as Python, TypeScript, React, Kubernetes, or similar modern tooling
- Deep curiosity about the rapidly evolving AI landscape, and excitement to stay at the frontier of applied AI
- A collaborative, low-ego approach and desire to work with exceptionally talented teammates
Nice to Have
- Experience with speech-to-text, voice AI, or multimodal models
- Experience in healthcare or other regulated industries
- Experience with fine-tuning and training LLMs
