Furtherai
Staff AI Engineer - Agent Team
San Francisco, California, United States · On-site · FullTime
USD 300,000–400,000/year
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About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerFurtherai
- LocationSan Francisco, California, United States
- Work styleOn-site
- Employment typeFullTime
- Employer posted
- Salary (as stated by the employer)USD 300,000 – 400,000 per year
About Us
At FurtherAI, we're building the AI agents that run insurance - a trillion-dollar industry still powered by manual work. By combining frontier agentic AI with deep domain expertise, we're reshaping how the industry's most critical work gets done.
We've raised more than $30M from top investors (Andreessen Horowitz, YC, Nexus, South Park Commons), grown more than XY00% in the last 12 months, and work with some of the largest names in insurance - top 10 carriers/brokers, F100 & public companies.
We are a deeply technical company. Both founders are engineers, and engineers have an outsized say on product direction.
Now, we're looking for an exceptional AI Engineer to join our agent team and shape both our product and how we build agents.
Why Join Us
Outsized ambition: We're out to build the definitive AI company for insurance - and we're moving faster than anyone in the space.
Show full description
Elite team: Founders and engineers from the best companies and schools in the world - ex-Apple AI Research, Brex, Coinbase, and Uber; 4 YC founders and 6 ex-founders; grads of Stanford, Berkeley, IITs, and Cornell.
Massive market impact: Insurance is the backbone of global commerce. Our work reshapes how the industry operates.
Founder's mindset: Own big pieces of the product from day one - ideal if you want to start your own company one day.
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
What We’re Looking For
Amazing ability to speak with LLMs - Occam's razor in prompting
Strong experience with Python
8+ years of software engineering experience, including at least 3 years building in AI/ML.
Clear communicator - both in person and in writing.
Bonus: background in B2B SaaS and 0 - 1 experience
Above all: drive, grit, and ownership. If you excel here, other requirements are secondary
Note that this is not a model-training role - you’ll be building orchestration and reasoning systems on top of existing LLMs (think Claude-Code over Claude-Model).
At FurtherAI, we set a high bar. We’re not looking for someone who just wants a job. We’re looking for someone who wants to build something transformative. If you thrive in environments where the pace is fast, expectations are high, and the rewards are outsized, you’ll love it here.
You can look forward to the following benefits:
Fully covered, best-in-class health, dental, and vision benefits
Competitive Compensation, meaningful stock options, company 401(k)
Unlimited PTO
Outstanding in-office culture in the heart of San Francisco 5x per week
Lunch and dinner onsite
Team events, such as happy hours and off-sites
Pre-tax Commuter benefits
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Advertised salary for this role here
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- USD a year, after annualising120,000–400,000 (11 listings, 8 employers)
At a glance
- Work styleOn-site
- Employment typeFullTime
- SeniorityLead / Principal
- Salary (as stated by the employer)USD 300,000–400,000 per year
- Employer posted
- Added to ROLIVA
- Last checked
Skills in this posting
Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.