11 hours ago
Base Salary
$170k - $190k/yr
Responsibilities
- Design and refine tool-calling patterns and agent orchestration for multi-step research across related documents.
- Build ingestion and normalization systems for millions of complex, versioned filings and other structured documents.
- Develop reinforcement fine-tuning harnesses, including graders for research tasks with non-verifiable rewards.
- Build tooling to measure, profile, and optimize agent pipeline latency, cost, and quality across millions of calls.
- Run experiments end to end, interpret results, and translate findings into product recommendations.
- Diagnose product shortcomings, build evaluations, ship improvements, and work directly with customers when useful.
Requirements
- 2–5 years of professional software development experience with strong programming fundamentals, primarily in Python.
- Proficiency with LLM APIs, agent frameworks, and modern retrieval patterns.
- Experience shipping high-impact work in ambiguous environments and iterating from an initial version.
- Experience shipping user-facing backend or full-stack products.
- Interest in rigorous evaluation infrastructure and determining whether product changes are actually better.
- Strong written and spoken English and strong interpersonal and teamwork skills.
- Insurance experience is not required.
Benefits
- Competitive salary and annual bonus.
- Health, dental, and vision insurance, including spouse and family coverage.
- 401(k) company match and life insurance.
- Cell phone and internet reimbursement, commuter benefits, and a Gympass/ClassPass gym membership.
- 25 days of paid time off per year.
- IT equipment allowance and professional development and training.
- Optional team lunches, sports, karaoke, after-work gatherings, and regular company events.
- Hybrid position based in New York City with three days per week in the office.
Tech Stack
Categories
About Akur8
Akur8 builds actuarial pricing and reserving software for insurers, delivered as a SaaS platform that blends machine learning with transparent GLM models. Carriers use it to accelerate risk modeling and rate-making while meeting regulatory and governance requirements across P&C and health lines. Founded in 2019 and headquartered in Paris, the privately held company sells to enterprise insurers and reinsurers through direct deployments and services.