Senior / Staff AI Engineer — Evals & Model Quality
Quick Summary
Build the evaluation frameworks and infrastructure that measure the accuracy, quality, and reliability of our AI agents across workflows, Assistant, document processing, and computer use.
Fully covered, best-in-class health, dental, and vision benefits Competitive compensation, meaningful stock options, company 401(k) Unlimite
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, Fortune 100 companies, and 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 own how we evaluate and continuously improve the quality of AI agents across our platform.
What We Offer
~1 min readResponsibilities
~1 min read- →
Build an end-to-end evaluation framework for FurtherAI agents, measuring success across multi-step workflows, tool calls, and complex insurance tasks.
Create a library of golden datasets and benchmarks for common insurance workflows, reusable across customer implementations and out-of-the-box AI skills.
Build an automated benchmarking system that evaluates new frontier and open-weight model releases and identifies the best models for different tasks.
Develop production evaluation pipelines that detect quality regressions, identify failure patterns, and turn them into actionable improvements.
5+ years of software engineering experience, with strong hands-on experience building production AI/ML systems.
Experience building evaluation frameworks, LLM-based applications, model benchmarking systems, or applied AI infrastructure.
Strong understanding of modern LLMs, agent architectures, evaluation methodologies, and model performance tradeoffs.
Strong Python engineering skills and the ability to build reliable, production-grade systems.
Ability to independently own ambiguous technical problems, from research and experimentation through production.
Clear communicator — both in person and in writing.
Bonus: Experience with LLM-as-judge, human evaluation systems, agent trajectory evaluations, or large-scale benchmarking.
Bonus: Experience with open-weight models, fine-tuning, post-training, or model routing.
Bonus: Background in B2B SaaS and 0-to-1 experience.
Above all: drive, grit, and ownership. If you excel here, other requirements are secondary.
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.
Location & Eligibility
About this job
- Pay per year
- $300,000–$350,000 a year
- 56% above the $207,700 median for Machine Learning Engineer jobs on Jobera (782 salaries).
- Who can apply
- United States
- Posted
- 1 day ago
Listing Details
- Posted
- October 14, 2026
- First seen
- October 14, 2026
- Last seen
- October 15, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 68%
- Scored at
- October 15, 2026
Signal breakdown
Similar Machine Learning Engineer jobs
View all →Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.