Founding Engineer (Python / AI / Data Platform)

This is a high-ownership role in an early-stage environment where you will work directly with founders, define core architecture decisions, and build systems from the ground up. You’ll be responsible for turning complex, unstructured healthcare data into reliable, AI-powered infrastructure that scales.

This role is ideal for someone who thrives in ambiguity, enjoys building end-to-end systems, and is excited about applying modern AI/LLM techniques to real-world data problems. Primary Responsibilities

• Design and build core backend systems using Python and SQL
• Build and scale data ingestion pipelines for unstructured healthcare policy data
• Define and evolve data models, schemas, and APIs for long-term platform scalability
• Build AI-powered pipelines using LLMs, embeddings, and RAG architectures
• Develop evaluation frameworks for LLM systems (testing, benchmarking, monitoring, QA workflows)
• Improve data quality, traceability, and system reliability across the platform
• Rapidly prototype and productionize new ideas in close collaboration with founders
• Build systems for auditability, explainability, and validation of AI-generated outputs
• Continuously iterate on architecture, performance, and product direction

• 5+ years of experience building backend or data-heavy systems
• Strong proficiency with Python, SQL, and Postgres
• Experience building data pipelines and data-driven software systems
• Hands-on experience with AI/LLM systems (RAG, embeddings, prompt engineering, evals, hallucination mitigation)
• Strong system design and architecture skills
• Experience working with cloud infrastructure (AWS preferred)
• Strong product mindset and ability to make tradeoffs between technical and business value
• Comfort working in highly ambiguous, fast-paced environments
• Proven ability to own projects end-to-end without heavy direction

Nice to Have:

• Experience in healthcare, payer/provider, or health tech domains
• Startup or early-stage founding team experience
• Experience with FastAPI or similar backend frameworks
• Familiarity with modern data warehouses (e.g., Snowflake)
• Exposure to TypeScript/React frontend development
• Experience with Terraform or infrastructure-as-code
• Experience with containerized systems and orchestration