Healthcare/Insurance Startup Founding Software Engineer
Job Description
Policybot is seeking a founding software engineer to design and build the data platform for healthcare payer policy data. You will own end-to-end ingestion, AI powered processing, and core platform development. The role is based in New York City with in office attendance three days per week.
Responsibilities
- Design ingestion pipelines to transform unstructured payer policies into structured, queryable objects
- Define evolving data schemas that maintain downstream compatibility while upholding data quality
- Apply AI to scale the data ingestion workflow across hundreds of health insurers
- Develop pipelines that provide auditability, traceability, and explainability
- Build and refine LLM powered data pipelines to extract and structure data elements from raw text for more usable policy data
- Create systems for evaluating and benchmarking LLM driven features, including evaluation harnesses, QA workflows, and human validation loops
- Enhance search capabilities by implementing retrieval augmented generation pipelines over healthcare policy documents; explore embeddings, vector databases, and fine tuning strategies
- Rapidly prototype, determine what works, transition successful approaches to production, and discard the rest
- Navigate ambiguous problems by asking clarifying questions until the underlying goal is understood
- Prioritize data quality and usability over flashy features, making pragmatic tradeoffs
- Demonstrate end to end product ownership, ensuring new technology is integrated into the company and product beyond code deployment
- Leverage AI to scale work and improve overall organizational efficiency
Requirements
- Minimum 5 years of experience building data heavy backend systems
- Proven track record with data pipelines and data driven software products
- Strong proficiency with Python, SQL, PostgreSQL, and modern cloud infrastructure (AWS preferred)
- Experience building AI native products including LLMs, RAG, embeddings, prompt engineering, hallucination mitigation, data labeling, evaluations, and monitoring
- Product oriented with the ability to weigh technical changes against business value
- Fluency in designing and evolving data models, schemas, and APIs for long term maintainability
- Proven ability to transform ambiguous problems into defined requirements, map ideal architecture, and execute end to end
- Experience designing and building backend infrastructure for scalability
- Ability to operate, manage, plan, and run projects independently
- Thrives in a fast paced, ambiguous environment
Technologies
- Python
- SQL
- PostgreSQL
- AWS
- Snowflake
- Terraform
- TypeScript
- React
- FastAPI
Benefits
- Founding equity
- Medical coverage
- 401K
- Learning stipend
- Unlimited PTO
Bonus Points
- Exposure to healthcare, payer or health tech data
- Prior startup, research team, or high paced environment experience
- Willingness to rapidly learn new tools, frameworks, and AI systems
- Frontend development experience with TypeScript/React
- Experience building high throughput applications on FastAPI
- Experience working with data warehouses such as Snowflake
- Exposure to Infrastructure as Code and container orchestration
Why Join Policybot
Join a small, ambitious team where you will influence architecture, culture, and velocity from day one. You will work directly with the founders to tackle challenging data problems in healthcare, experiment with cutting edge AI tools, and own systems that form the backbone of a new data infrastructure category in healthcare.
Application Question(s)
- This role requires on site attendance. Are you within commuting distance of New York City?
Job Type
Full-time
Salary
USD 130,000 - 160,000 per year
Location
Hybrid remote in New York, NY 10001
Experience
- Professional engineering: 3 years (Required)
- Professional Python programming: 2 years (Required)