Staff Software Engineer, AI

This company is using automation and applied AI to modernize an industry riddled with manual workflows and inefficiencies. By combining domain-specific expertise with cutting-edge LLMs and RAG pipelines, they’re building intelligent tools that make expert work faster, smarter, and more consistent.

The Role

You’ll be part of a cross-functional AI task force reporting into engineering leadership, working closely with product, design, and infra. This is a hands-on, end-to-end role ideal for engineers who want to prototype, ship, and scale real features - not just build demos. You’ll split your time between user-facing copilots and the backend infra that powers them.

What You’ll Do

• Build LLM-powered assistants to streamline domain expert workflows
• Design RAG pipelines using structured and unstructured internal data
• Develop internal ML tooling for versioning, observability, and orchestration
• Tune prompts, build eval harnesses, and iterate based on real-world feedback
• Contribute to platform components that enable scalable experimentation

• Ample experience in backend or systems engineering
• Exposure to applied AI systems (LLMs, NLP, RAG)
• Proficiency in Python; experience with distributed systems is a plus
• Familiarity with embeddings, vector DBs, and prompt iteration
• Ability to move fast and own projects from idea through production
• Bonus: experience building eval frameworks or internal ML infra

Tech Stack

• Python, TypeScript
• Postgres, Temporal
• LLM APIs (e.g., OpenAI, Claude), vector databases
• Prompting libraries, orchestration tooling