Forward Deployed Engineer (FDE), Legal-SF

OpenAI
San Francisco, New York
Workplace: HybridFull timeUSD 162,000 - 280,000 annuallyFunction: Legal, Risk & ComplianceSkills: ["Communication","Systems thinking","High execution"]

Embed with law firms and legal teams to identify high-value AI use cases, prototype quickly, and drive production adoption. Build full-stack systems that deliver measurable impact while translating customer workflows and constraints into product feedback. Contribute directly in code, codify repeatable deployment patterns, and share field learnings to improve models, evaluation, and guardrails in high-stakes, compliance-heavy environments.

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FursaFursa
OpenAI
OpenAI
2 days ago

Forward Deployed Engineer (FDE), Legal-SF

āœ“ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Embed with law firms and legal teams to identify high-value AI use cases, prototype quickly, and drive production adoption. Build full-stack systems that deliver measurable impact while translating customer workflows and constraints into product feedback. Contribute directly in code, codify repeatable deployment patterns, and share field learnings to improve models, evaluation, and guardrails in high-stakes, compliance-heavy environments.
Location: San Francisco, New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Legal, Risk & Compliance
Seniority: Mid level

Key Responsibilities

  • ā€¢Embed with law firms and legal teams to understand workflows, identify high-value opportunities, and select initial use cases to prove value.
  • ā€¢Rapidly prototype AI solutions and guide production adoption with customer teams, supporting effective integration of what you build.
  • ā€¢Build full-stack systems that deliver customer value and improve how the organization learns from deployments.
  • ā€¢Contribute directly in code when progress or clarity depends on it, balancing scope, speed, and quality to protect delivery.
  • ā€¢Codify working patterns into tools, playbooks, or building blocks, and share field feedback to help Research and Product improve models and outcomes.
Travel: High travel

Pay and Benefits

Salary: USD 162,000 - 280,000 annually
Equity and Bonus:Equity
Perks:Relocation

Key Requirements

  • ā€¢Bring 5+ years of software engineering, ML engineering, or technical deployment experience with customer-facing ownership in financial services or adjacent regulated industries.
  • ā€¢Write and review production-grade code across backend and frontend systems using Python, JavaScript, or comparable stacks.
  • ā€¢Have deployed systems powered by LLMs or generative models, with understanding of evaluation and guardrails affecting user trust and outcomes.
  • ā€¢Own complex AI/data-driven systems end-to-end, from scoping through production adoption, in environments where errors have financial or regulatory consequences.
  • ā€¢Communicate clearly across engineering, product, risk, compliance, and executive stakeholders, translating technical trade-offs into decision quality and risk posture.
Experience:Financial servicesRegulated industriesLegal technologyCustomer-facing deploymentGenerative AI
Skills:CommunicationSystems thinkingHigh execution
Tech Stack:PythonJavaScriptLLMsGenerative models

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALLĀ·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
WebsiteLinkedInGlassdoor