Director of Engineering - AI Agents

FurtherAI
San Francisco
Workplace: OnsiteFull timeUSD 250,000 - 350,000 annuallyFunction: Data Science & Machine LearningSkills: ["Leadership","Mentorship","Communication","Ownership","Grit"]

Lead the AI organization responsible for agent infrastructure, agent intelligence, and customer-facing agentic products. Set technical direction for production-grade LLM/agent systems used in real insurance workflows, while recruiting, mentoring, and retaining AI engineers as the org scales. Stay deeply technical in architecture and code, drive evaluation and reliability practices, and help push the frontier of what agents can do for insurance.

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FursaFursa
FurtherAI
FurtherAI
1 month ago

Director of Engineering - AI Agents

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Lead the AI organization responsible for agent infrastructure, agent intelligence, and customer-facing agentic products. Set technical direction for production-grade LLM/agent systems used in real insurance workflows, while recruiting, mentoring, and retaining AI engineers as the org scales. Stay deeply technical in architecture and code, drive evaluation and reliability practices, and help push the frontier of what agents can do for insurance.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Own and grow the AI org by leading and scaling teams across AI infrastructure, agent intelligence, and agentic products.
  • •Set technical direction for production-ready agents that perform on real customer money.
  • •Recruit, mentor, and retain a world-class team of AI engineers and hire leaders as the org grows.
  • •Stay deeply technical by contributing to code and architecture, setting standards by example.
  • •Push forward what agents can do for insurance as the field evolves.

Pay and Benefits

Salary: USD 250,000 - 350,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionEquity401kPaid LeaveCommuter BenefitsMeal Allowance

Key Requirements

  • •Proven experience leading AI/ML engineering teams building production LLM/agent systems, including managing engineers and shipping.
  • •Deep, hands-on understanding of agentic architectures including tool use, planning, multi-agent orchestration, evals, and reliability.
  • •Strong technical bar with the ability to dive into code and rigorously evaluate experiment design.
  • •Track record recruiting and scaling teams, growing leaders under you.
  • •Clear communication in person and in writing.
Skills:LeadershipMentorshipCommunicationOwnershipGrit

Company Brief

FurtherAI
Builds domain-specific AI assistants to automate complex commercial insurance workflows—submission intake, policy comparison, underwriting audits, and claims—integrating with insurer systems to increase speed and accuracy for carriers, MGAs, and brokers.
Industry: InsurTech
Company Size: Large (251 to 1,000 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: San Francisco, United States
Founded: 2023
WebsiteLinkedIn