FurtherAI - Director of Engineering - AI Agents

Source: Paraform - https://www.paraform.com/share/furtherai/cmrtt91wm00060cjr9af0gg8b · Company: furtherai.com

Location: On-site, 5 days in-office in San Francisco, CA · Full-time · $300K - $450K base salary plus competitive equity · Open to visa transfers (e.g. OPT, H1B transfers) and visa sponsorships (e.g. new H1B, TN)

About FurtherAI

FurtherAI is a domain-specific AI for the insurance industry. Its AI Workspace automates workflows like submission intake, policy comparisons and underwriting audits; a submission that took an underwriter 6-8 hours can be completed in as little as 10-15 minutes. FurtherAI supports customers writing over $15B in premiums across all 50 US states, serving insurers, reinsurers, MGAs and brokers. Founded 2024, $30M total funding, backed by a16z, Y Combinator, Nexus, South Park Commons and Converge. Both founders are engineers.

The role

Own and scale FurtherAI's AI organization, leading the team building production LLM-powered agents that automate critical insurance workflows, and shaping the technical direction of the entire AI org.

What you'll do

• Own and grow the AI org, scaling it into three teams: AI infrastructure (routing & reliability), Agent intelligence (evals, shared tools, multimodal pipelines), and Agentic products (customer-facing AI assistant, long-running workflows)
• Set technical direction for agents that hold up in real production on real customer money, including model routing, multi-agent orchestration and reliability
• Recruit, mentor and retain a world-class team of AI engineers, hiring the leaders beneath you as the org scales post-Series A
• Stay deeply technical: still in the code and architecture, setting the bar by example
• Push the frontier of what AI agents can do for insurance

Tech stack

LLMs, Agentic AI, Python, Multi-agent orchestration, Model routing, Evaluation frameworks, Multimodal pipelines

• 7+ years of experience in AI/ML engineering and managing teams at a VC-backed startup
• Hands-on technical leadership in production LLM agents (model routing, multi-agent orchestration, evals, reliability)
• Experience recruiting, mentoring and retaining engineering teams