Job Title

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

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