Founding Engineer (Python / AI / Data Platform)

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

Must Haves

• 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 Haves

• 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