Founding Engineer (Data/AI) - Flyway Health

AI overview

Work at the intersection of AI and data engineering to enhance data workflows and improve the performance of healthtech solutions for leading pharmaceutical companies.

Location: Remote (in-person, NY)

Type: Full-time

About Us

We’re an early-stage, venture-backed healthtech company using AI Agents to drive real-world impact in the life sciences. Our clients include leading pharmaceutical companies who trust us to deliver insights from complex datasets.

We’re looking for a highly versatile engineer who can operate at the intersection of AI, data engineering, and software development. You’ll work on advancing our AI systems, scaling data workflows, and ensuring our platform continues to deliver exceptional performance for enterprise clients.

What You’ll Do

  • Build and optimize AI-driven data pipelines

  • Enhance agentic system architecture and monitoring

  • Integrate new data sources and deploy new AI agent capabilities

  • Conduct technical analysis to improve performance and scalability

Must-Have Qualifications

  • A desire to improve

  • Exceptional Python skills

  • Experience building applications with LLMs

  • Proficiency in SQL and familiarity with ORM tools (e.g., SQLAlchemy)

  • Solid understanding of relational databases & cloud data warehouses

  • Strong problem-solving skills and ability to design scalable technical solutions

  • Able to work independently

Preferred Qualifications

  • Experience in life sciences, healthcare analytics, biomedical research, or enterprise AI software

  • DevOps skills (e.g., CI/CD pipelines, Docker, Kubernetes, cloud infrastructure)

  • Experience with distributed systems

Compensation & Benefits

  • Competitive salary based on experience

  • Flexible, remote-first work environment

Why Join Us

  • Early hire at a fast-growing, VC-backed company

  • Fundamentally change how fast therapies can reach patients

  • Work directly with the founding team

  • Exposure to high-value enterprise challenges

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