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You will be a strong individual contributor comfortable working directly with stakeholders. You will be reporting to senior engineering leaders, working alongside ~30 people across backend, frontend, data, and DevSecOps. The team is fully remote, flat, and talent-dense. You won't be starting from scratch - you'll join a strong team with years of experience and strong understanding of our systems.
Job Responsibility:
Ship LLM systems that tightly integrate with our infrastructure and knowledge bases
Maintain autonomous and human-in-the-loop systems and ensure uptime and accuracy
Interact with users and stakeholders to understand their problems and design solutions
Stay up-to-date with the latest trends in LLMs and applied AI practices
Collaborate with a cross-functional team
Update existing systems to be agent-accessible
Build the patterns and tooling that let the rest of engineering deploy agents faster
Requirements:
Shipped at least one LLM-powered system used by real users (internal or external) that took actions in a real system
Can talk specifically about evals, retrieval shape, observability of agent traces, and handling non-determinism in a system business operators depend on