Staff AI Engineer
Full-time
On-site
San Francisco
$225K - $350K
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Pipeline
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Akshay V
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Joanna Samuels
Joanna Samuels
Recruiter
Engaged
Top 35% of hiring managers
Time to first action
20 hours
Reply time
N/A
Active days
7 days
Feedback quality
Vague
Latest announcement
· Sep 23, 2026
Hi all, we are hiring for this role on a rolling basis. We do not currently have a limit for the amount of candidates that we would hire, so continue to send strong candidates our way. Thanks!
Role highlights
Hiring goal
2 - 3 candidates
Recruiter activity
Recruiter activity on this role is medium
Suggested outreach
Requirements
By tier
By category
Calibrate a candidate in Parabot. to see how well they fit the requirements.
Dealbreaker
Work experience
Staff-level + experience in a B2B SaaS, early-stage (0 to 1) STARTUP environment. Startup is a must have
Updated
Experience with AI agents
Education
Undergrad in CS from top 30 school
Updated
Hard skills
Strong proficiency in Python
Baseline
Seniority
8+ years of experience building in ML/AI at a high-growth top tech company
Hard skills
Experience experimenting with agentic techniques (e.g., multi-agent systems)
Nice-to-have
Work experience
Previous experience as a founder or early engineer
Education
Master or PhD in AI/ML/LLMs (if yes, then 2+ YOE is not required)
Traits to avoid
Candidates whose primary experience is in model training only
Seeking a role with a slow pace and low expectations
ex-FAANG
Pipeline
Inbox
0candidates
Initial Screen
4candidates
Technical Interview
2candidates
Final Interview
1candidate
Offer
0candidates
Hired
0candidates
Recent Activity
Changed status of Candidate #2 from Submitted to First round
13 days ago
Changed status of Candidate #1 from Submitted to First round
13 days ago
About this role
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.
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 building in ML/AI.
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
Lunch and dinner onsite
Team events, such as happy hours and off-sites
Pre-tax Commuter benefits
Role details
Salary
$225K - $350K
On-site work policy
5 days/week in SF
Full-time position
Location
San Francisco
Equity
Competitive equity
Visa sponsorship details
Open to visa transfers (e.g. OPT, H1B transfers)
Additional visa sponsorship details
Case-by-case basis
Hiring Count
Looking to hire 2 - 3 candidates for this role
Tech stack
Python
Requirements
By tier
By category
Calibrate a candidate in Parabot. to see how well they fit the requirements.
Dealbreaker
Work experience
Staff-level + experience in a B2B SaaS, early-stage (0 to 1) STARTUP environment. Startup is a must have
Updated
Experience with AI agents
Education
Undergrad in CS from top 30 school
Updated
Hard skills
Strong proficiency in Python
Baseline
Seniority
8+ years of experience building in ML/AI at a high-growth top tech company
Hard skills
Experience experimenting with agentic techniques (e.g., multi-agent systems)
Nice-to-have
Work experience
Previous experience as a founder or early engineer
Education
Master or PhD in AI/ML/LLMs (if yes, then 2+ YOE is not required)
Traits to avoid
Candidates whose primary experience is in model training only
Seeking a role with a slow pace and low expectations
ex-FAANG
