Technical leader building agent infrastructure, observability, evals, and guardrails for production AI systems at Watershed. Requires 6+ years backend/platform/AI engineering experience and production TypeScript systems.
202k – 255k/yr
On-site6+ YOEML Engineering
About the role
Responsibilities
Design and build the agent infrastructure that powers Watershed's products
Develop the observability and tracing layer for agent decisions, making it possible to debug, evaluate, and improve agent behavior at scale
Build evals, harnesses, and guardrails that turn agent capabilities into production-grade, dependable systems
Collaborate with product and other AI engineering teams to set product and technical strategy, and define the boundaries between autonomous agent behavior, deterministic code, and human oversight
Keep up with developments and state-of-the-art in AI and agent infrastructure to determine what is relevant to Watershed
Work closely with Watershed product teams to contribute your expertise to build agent experiences across the product
Write performant, well-crafted, tested, and maintainable code across our technical stack
Requirements
6+ years of experience in backend, platform, or AI/ML engineering
Experience building products and infrastructure that leverage LLMs, embeddings, and other ML technologies
Full lifecycle experience building, deploying, and monitoring production systems that depend on LLMs or other ML technologies
Experience with model evaluation, agent observability, and making non-deterministic systems reliable
Experience building and operating production Typescript systems
Must be willing to work from an office 4 days per week
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