Senior / Staff AI Engineer — Evals & Model Quality

FurtherAI Inc.; San Francisco (CA); Sur place; USD 140 000 - 210 000; Plein temps

Avantages offerts par ce poste

Fully covered health, dental, and visa

Competitive compensation, stock + 401k

Unlimited PTO

Outstanding in-office culture in San F

Lunch and dinner onsite

Team events

Pre-tax commuter benefits

Résumé du poste

FurtherAI Inc. is seeking an exceptional AI Engineer to own how we evaluate and continuously improve the quality of AI agents across our insurance-focused platform.

You will build evaluation frameworks, golden datasets, and regression suites, collaborating with Forward Deployed Engineers and domain experts to capture real-world insurance tasks and edge cases. You will design multi-step agent evaluations, tool use, and end-to-end task completion while developing automated grading systems.

Qualifications

• Strong Python engineering skills and the ability to build reliable, production-grade 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.

Responsabilités

• Own evaluations across FurtherAI: build evaluation frameworks and infrastructure to measure accuracy, quality, and reliability of AI agents across workflows.
• Build high-quality datasets: develop golden datasets, benchmarks, and regression suites with domain experts to capture real-world insurance tasks.
• Evaluate complex agent behavior: design evaluations for multi-step agent trajectories, tool use, reasoning, and end-to-end task completion.
• Build automated grading systems: develop LLM-as-judge evaluations, deterministic graders, and human evaluation workflows.
• Make development evaluation-driven: integrate offline and online evaluations into release processes to measure improvements and catch regressions.
• Drive model evaluation and selection: benchmark frontier/open-weight models across accuracy, latency, cost, and reliability.
• Build continuous improvement loops: turn production failures and user feedback into new evaluation cases and improvements.

Connaissances

Python

Production AI/ML systems

LLM-based applications

Evaluation frameworks

Communication

Outils

Benchmarking systems

Open-weight models

Description du poste

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, 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.

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

• Own evaluations across FurtherAI: 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.

• Build high-quality datasets: Develop golden datasets, benchmarks, and regression suites, working closely with Forward Deployed Engineers and domain experts to capture real-world insurance tasks and edge cases.

• Evaluate complex agent behavior: Design evaluations for multi-step agent trajectories, tool use, reasoning, and end-to-end task completion — not just individual LLM responses.

• Build automated grading systems: Develop LLM-as-judge evaluations, deterministic graders, human evaluation workflows, and rubrics that accurately reflect real-world quality.

• Make development evaluation-driven: Integrate offline and online evaluations into development and release processes so engineers can measure improvements, catch regressions, and ship confidently.

• Drive model evaluation and selection: Continuously benchmark frontier and open-weight models across accuracy, latency, cost, and reliability. Use results to inform model selection, upgrades, and production releases.

• Build continuous improvement loops: Turn production failures, customer feedback, and agent traces into new evaluation cases and measurable improvements in agent quality.

Representative Projects

• 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.

What We’re Looking For

• 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.

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