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At Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. As a senior member of our founding Forward Deployed Engineer (FDE) team, you’ll embed with Harvey’s enterprise customers (Am Law firms, in-house teams at large enterprises, and other professional services organizations) to turn cutting‑edge AI systems into production‑grade workflows that deliver measurable outcomes fast. You’ll move from prototype to deployment quickly, surface patterns from the field, and feed them back into Harvey’s platform and product roadmap. You’ll start from open‑ended, high‑leverage problems, design and implement end‑to‑end solutions with real users and data, and ship to production under tight feedback loops.
Job Responsibility:
Embed with customers to map out workflows, de‑risk constraints, and define crisp success metrics for custom builds
Design → prototype → productionize custom workflows: customize knowledge sources and retrieval pipelines, tool use/agents, prompts, and guardrails
then harden them for reliability, observability, and scale
Integrate workflows with clients systems (DMS, KM, ticketing, identity/SSO) and data sources
standing up secure connectors to the rest of the Harvey platform
Build and maintain evals & harnesses that capture real‑world quality on a client-by-client basis, wiring those signals into iteration loops and model choices
Operationalize adoption: run training, write crisp runbooks, and hand-off durable playbooks to customer champions—and to Harvey product/eng—so wins scale beyond one account
Surface field patterns (recurring prompts, tools, workflows, failure modes) that inform platform capabilities and future product bets
Requirements:
5+ years building and operating production software with meaningful 0→1 ownership and the ability to operate under ambiguity
Experience building LLM‑powered applications (retrieval, tools/agents, structured outputs, prompt/runtime safety) and taking them to production
Comfort working directly with customers—from scoping ambiguous problems to shipping, integrating, training, and iterating on adoption
Practical experience with evals (designing task suites, pipelines, and dashboards that reflect user quality)
you use evals to drive model/product decisions
Clear, concise communication
low‑ego collaboration
appetite for in‑person pairing with teammates and customers in NYC