Senior Staff Engineer (LLM)

Role Overview: The LLM Engineer will join an existing development team to build and ship LLM-powered features in a complex, production application used at scale. This is a hands-on, full-stack role spanning backend services, APIs, and the LLM systems (retrieval, agents, evaluation) that power them. You are expected to work as an agentic engineer”using AI coding tools and autonomous agents to write code, automate workflows, and optimize how the team delivers. You will collaborate with global teams across multiple time zones and own features end to end. In this role, you will: Bring senior-level Python and LLM engineering expertise to the team. Execute both planning and hands-on technical work independently. Collaborate effectively with Product Owners and other stakeholders to solve complex problems. Work cross-functionally to deliver impactful solutions across teams. Continuously develop your technical expertise and stay current with new technologies. Bring curiosity and drive to expand your skills and knowledge. Use a data-driven approach to solve technical challenges and make informed decisions. Apply systems-level thinking that integrates data science and engineering principles. Take full ownership of the features and projects you work on, delivering high-quality solutions independently. Must-Have Skills: Hands-on, daily use of AI-assisted and agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot, autonomous coding agents) to write and refactor code, automate workflows, and optimize engineering processes. Strong experience with Python, particularly in building REST APIs using frameworks like FastAPI. Grounding in NLP and machine learning as they relate to building LLM systems Strong experience working with key LLM models APIs (e.g. OpenAI, Anthropic) Experience building, deploying, and securing MCP servers at scale. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Designing and implementing RAG systems end