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FurtherAI - Staff AI Engineer

deCircle · San Francisco, CA, United States · Onsite

Weak hiring record · median 129 days open

9292

Hiring signal

Actively hiring

Still listed on the employer's own board · How we score

All reasons
  • 61% of this employer's openings are over 60 days old

In its favour

  • Still listed on the employer's own board

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FurtherAI - Staff AI Engineer at deCircle. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Source

Paraform - https://www.paraform.com/share/furtherai/cms3gcwgi003t0dkw9ymq3vcy

Company

further.ai

Location

On-site, 5 days/week in San Francisco

  • Full-time
  • Salary $225K - $350K plus competitive equity
  • Open to visa transfers (e.g. OPT, H1B transfers), case-by-case basis

About FurtherAI

FurtherAI is building the AI agents that run insurance, a trillion-dollar industry still powered by manual work. Its domain-specific AI Workspace automates workflows like submission intake, policy comparisons and underwriting audits, and supports customers writing over $15B in premiums across all 50 states. Founded in 2024, FurtherAI has raised $30M from investors including Andreessen Horowitz, Y Combinator, Nexus and South Park Commons, and works with top 10 carriers/brokers and F100 and public companies. Both founders are engineers, and engineers have an outsized say on product direction.

The role

Join the agent team as a Staff AI Engineer and shape both the product and how FurtherAI builds agents.

This is not a model-training role

you'll build orchestration and reasoning systems on top of existing LLMs.

What you'll do

  • Set up end-to-end evals to measure and improve agent performance.
  • Experiment with new agentic techniques: multi-agent systems, reasoning-from-feedback, and more.
  • Build lightweight tools, servers and orchestration layers (e.g. MCP servers) that let agents run reliably in production.
  • Stay on top of emerging research on LLMs/agents and bring ideas into production experiments.

Representative projects

  • Eval harnesses that measure and lift agent accuracy on real insurance work
  • Orchestration and tools (e.g. MCP servers) that keep agents reliable in production
  • Multi-agent systems and reasoning-from-feedback loops
  • Long-running agents that read documents, pull from connected systems, and take actions end to end

Benefits

  • Fully covered health, dental and vision benefits
  • Competitive compensation, meaningful stock options, company 401(k)
  • Unlimited PTO
  • In-office culture in San Francisco, lunch and dinner onsite
  • Team events such as happy hours and off-sites
  • Pre-tax commuter benefits
  • 8+ years building in ML/AI at a high-growth top tech company
  • Strong experience with Python
  • Amazing ability to speak with LLMs (Occam's razor in prompting)
  • Clear communicator, both in person and in writing
  • Bonus: background in B2B SaaS and 0-1 experience
  • Above all: drive, grit and ownership

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