Senior Forward Deployed Engineer

Job not on LinkedIn

🕒 February 10

🏢🏡 New York City – Hybrid

💵 $200k - $260k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

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Harvey

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

💰 $80.6G Series B on 2023-12

Artificial Intelligence • Legal • Enterprise

Harvey is a professional class AI solution tailored specifically for law firms, professional service providers, and Fortune 500 companies. It offers a suite of domain-specific tools that enable users to delegate complex tasks in natural language to a customized personal assistant. Harvey's platform facilitates rapid research with grounded results across legal, regulatory, and tax domains, while also providing secure project workspaces for document analysis through generative AI. With a focus on enterprise-grade security and industry-leading AI models, Harvey aims to streamline workflows and free professionals, such as lawyers, from mundane tasks, enabling them to concentrate on strategic and advisory roles.

📋 Description

• 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.

🏖️ Benefits

• Comprehensive health, dental and vision coverage • Retirement benefits (401k match up to 4%) • Flexible PTO • Offers Equity • Offers Bonus