Senior Software / AI Engineer

About the role

Pathos is building the first AI native biotech platform, one that turns massive multimodal datasets into foundation models, and those models into live agents that materially change how drug development is done. Instead of bolting AI onto legacy pharma systems, we are designing a new stack from the ground up.

Responsibilities

• Build AI agents and copilots for internal teams across BD, clinical, computational biology, and lab.
• Build robust data pipelines into a governed warehouse and knowledge graph.
• Build MCP style servers and tooling so agents can safely talk to internal systems.
• Work across the full product lifecycle: prototype, iterate, ship, and maintain.

Requirements

• Roughly 6 to 8 or more years of professional software, ML, or product engineering experience building systems that real users depend on.
• Fluent in Python and TypeScript in production, and comfortable building full stack applications.
• Experience with production grade APIs, eventing, and data engineering, ideally cloud native on GCP, BigQuery, or similar.
• You own services end to end: architecture, implementation, testing, and observability.

Bonus

• Prior work on agentic systems at scale, retrieval systems, or ML infrastructure.
• Experience operating in highly regulated environments that use patient and clinical trial data.

Qualifications

• Experience working in highly regulated environments that use patient and clinical trial data.

Skills

• Experience with production grade APIs, eventing, and data engineering.
• Experience operating in highly regulated environments that use patient and clinical trial data.

Benefits

Not specified.

Pay

180,000 - 200,000 USD per year (New York Office)

Schedule

This is a hybrid role, requiring up to 3-4 days per week onsite, in our NYC Headquarters.

Location

New York, NY

Engineering

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