Senior Forward Deployed Engineer

HarveyNew York, NY
1d$200,000 - $260,000Onsite

About The Position

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. This role is based in New York, NY. We use an in-person work model and offer relocation assistance to new employees..

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.

Responsibilities

  • 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.
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