Founding Engineer (Data/AI) - Flyway Health - Pear VC : Job Details

Location: Remote (in-person, NY) Type: Full-time About Us We're an early-stage, venture-backed healthtech company using AI and data science to drive real-world impact in the life sciences. Our clients include leading biopharma organizations 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

• Exceptional Python skills
• Experience with AI frameworks
• Proficiency in SQL and familiarity with ORM tools (e.g., SQLAlchemy)
• Experience building applications with LLMs
• Solid understanding of relational databases & cloud data warehouses
• Strong problem-solving skills and ability to design scalable technical solutions
• Comfort working in early-stage environments (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
• Pathway to equity if transitioning to a full-time, in-person role in the US
• Performance-based H-1B visa sponsorship opportunity
• Flexible, remote-first work environment

Why Join Us

• Early hire at a fast-growing, VC-backed company
• Opportunity to shape the future of AI-driven analytics in healthcare
• Work directly with the founding team in a high-impact role
• Exposure to high-value enterprise challenges