AI Engineer, Decision Intelligence for Arbitration

landa; San Francisco (CA); On-site; USD 180,000 - 220,000; Full time

Job summary

landa in San Francisco is hiring an AI Engineer, Decision Intelligence to own the intelligence layer of the product. You will build the decision engine that decides which claims to contest and at what offer amount, and design the LLM systems that generate arguments and evidence.

The stack is TypeScript, Next.js, Prisma, and PostgreSQL on Google Cloud, with LLM reasoning; you will work in a small, mission-driven team in-office to deliver measurable impact in healthcare disputes.

Qualifications

• 5+ years engineering, with meaningful recent time building LLM-powered or ML-driven products in production.
• Real experience with evaluation: building golden datasets, offline evals, measuring whether changes helped
• Comfort across the stack: ship end-to-end, not just model layer

Responsibilities

• Build the decision engine that determines which claims to contest and at what offer amount.
• Design the LLM systems that generate arguments: medical necessity, patient acuity, market comparables, the full submission
• Build evaluation infrastructure: Golden datasets, offline evals, and the ability to know whether a change actually improved outcomes
• Architect the split between deterministic rules and model reasoning, and defend where you drew the line
• Close the feedback loop from arbitration outcomes back into the system, so every decision makes the next one better
• Build for explainability: Every recommendation needs reasoning a customer would accept

Skills

LLM systems

Production ML

Evaluation

TypeScript

Python

Tools

TypeScript

Python

Job description

landa in San Francisco is hiring an AI Engineer, Decision Intelligence to own the intelligence layer of the product. You will build the decision engine that decides which claims to contest and at what offer amount, and design the LLM systems that generate arguments and evidence.

The stack is TypeScript, Next.js, Prisma, and PostgreSQL on Google Cloud, with LLM reasoning; you will work in a small, mission-driven team in-office to deliver measurable impact in healthcare disputes.