Senior Software Engineer, Full Stack - NYC

Harvey
New York
Workplace: OnsiteFull timeUSD 200,000 - 260,000 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["LLM","Retrieval","Agents","Prompts","Guardrails","SSO","DMS","KM","Production","Observability","Playbooks","Customer collaboration","Communication"]

Senior Forward Deployed Engineer embedded with Harvey’s enterprise customers to turn cutting-edge AI systems into production-grade workflows. You’ll move from prototype to deployment, design end-to-end solutions, surface field patterns, and feed insights back into the product roadmap, with a focus on client success, reliability, and scale from NYC-based engagements.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Harvey
Harvey
5 months ago

Senior Software Engineer, Full Stack - NYC

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Senior Forward Deployed Engineer embedded with Harvey’s enterprise customers to turn cutting-edge AI systems into production-grade workflows. You’ll move from prototype to deployment, design end-to-end solutions, surface field patterns, and feed insights back into the product roadmap, with a focus on client success, reliability, and scale from NYC-based engagements.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key 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 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.

Pay and Benefits

Salary: USD 200,000 - 260,000 annually
Equity and Bonus:Equity
Perks:Relocation

Key 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.
Experience:5+ yearsLegalEnterprise AI
Skills:LLMRetrievalAgentsPromptsGuardrailsSSODMSKMProductionObservabilityPlaybooksCustomer collaborationCommunication
Languages:English
Tech Stack:LLMRetrievalTools/agentsPromptsGuardrailsSSODMSKMProductionObservabilityRunbooks

Company Brief

Harvey
Harvey builds domain-specific generative AI for legal and professional services, automating contract analysis, due diligence, compliance, and litigation workflows for law firms and corporate legal teams.
Industry: LegalTech
Company Size: Large (251 to 1,000 employees)
Revenue: USD 100M to 250M
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2022
Glassdoor
Glassdoor: 4.1
WebsiteLinkedInGlassdoor