Founding Engineer

About Us

Policybot is building the data infrastructure that powers how healthcare decisions are made. We catalog normalize and structure complex payer policies to enable clearer coverage decisions faster patient access and smarter product strategy. Policybot’s data powers thousands of automated workflows every day.

Our small team is made up of veterans from companies like Oscar Health and Teladoc to make policies easy to use. We’re now focused on scaling our applied AI systems to turn overly complex payer rules into actionable next steps for our customers.

What You’ll Do

Policybot is on a mission to make health insurer policy data accessible structured and executable. As a founding engineer you’ll own core systems end-to-end: ingesting messy policy data structuring it layering AI systems on top and creating a platform that becomes the canonical source of truth for healthcare policy intelligence.

You’ll work directly with the founders to design build and ship critical parts of our product — spanning full-stack and AI engineering. This is a unique opportunity to get hands-on startup experience learn at a rapid pace and make a meaningful impact on healthcare technology.

Key responsibilities may include:

Building the Core Data Platform

• Design ingestion pipelines that convert messy unstructured payer policies into structured queryable objects
• Define data schemas that evolve without breaking downstream consumers and enforce data quality as a top concern
• Leverage AI to scale the data ingestion pipeline to cover hundreds of health insurers
• Build pipelines for auditability traceability and explainability
• Build and refine LLM-powered data pipelines that extract and and structure data elements from raw text to make policy data more useful
• Develop systems for evaluating and benchmarking LLM-driven features including evaluation harnesses QA workflows and human validation loops
• Make improvements in our search capabilities by designing and implementing RAG (Retrieval-Augmented Generation) pipelines over healthcare policy documents; experiment with embeddings vector databases and fine-tuning strategies
   

Operate like a Founder

• Rapidly build prototypes quickly determine what works and what doesn’t convert what works to production systems and trash the rest
• Navigate ambiguous environments by continuously asking questions until you understand what problem you’re solving
• Recognize that 80% of the value is data quality and usability over shiny features and make tradeoffs accordingly
• Demonstrate end-to-end product ownership to ensure new tech is fully integrated into the company and product ownership doesn’t stop when code hits prod
• Leverage AI to scale your work and improve the entire organization’s efficiency
   

Who You Are

Must-Haves:

• 5+ years experience building data-heavy backend systems (or equivalent track record)
• A track record of working with data pipelines and data-driven software products
• Deep comfort with Python SQL Postgres and modern cloud infrastructure (AWS preferred)
• Experience building AI-native products such as LLMs RAG embeddings prompt engineering hallucination mitigation data labeling evals and monitoring
• Are product-oriented and able to evaluate the tradeoff of technical changes against business value
• Fluency in designing and evolving data models schemas and APIs for long-term maintainability
• Proven ability to take ambiguous problems define the requirements map the ideal architecture and execute end-to-end
• Experience designing and building backend infrastructure for scalability
• Able to operate manage plan and run projects independently
• Able to thrive in a fast-paced ambiguous environment
   

Bonus Points:

• Exposure to healthcare payer/provider data or health tech
• Prior exposure to startups research teams or high-paced environments
• Willingness to dive into new tools frameworks and AI systems quickly
• Experienced in front-end development (TypeScript/React)
• Prior experience developing high throughput applications on FastAPI
• Experienced working with data warehouses (eg Snowflake)
• Exposure to Infrastructure‑as‑Code (e.g. Terraform) and container orchestration

Why Join Policybot

• Be part of a small ambitious team where you’ll shape the architecture culture and velocity of the engineering org from day one.
• You’ll work directly with founders to solve some of the hardest data problems in healthcare.
• Experiment with cutting-edge AI tools and apply them to hard problems
• You’ll own systems that become the backbone of a new category of data infrastructure in healthcare

Benefits

• Founding equity
• Health dental vision coverage
• Pre-tax commuter and dependent care benefits
• 401K
• Learning stipend
• Unlimited PTO

Have questions? Email us at [email protected].

What We Do

Policybot normalizes and structure complex payer policies to enable clearer coverage decisions faster patient access and smarter product strategy. Policybot’s data powers thousands of automated workflows every day. Our small team combines experiences from companies like Oscar Health and Teladoc to make policies easy to use. We’re now focused on scaling our applied AI systems to turn overly complex payer rules into actionable next steps for our customers.

Why Work With Us

At Policybot you'll be part of a small ambitious team where you’ll shape how healthcare decisions are made. You’ll work directly with founders to solve some of the hardest data problems in healthcare and experiment with cutting-edge AI tools and apply them to hard problems.