Co-Op Student Software Engineer, Nav Care

Summary

Function Health is building a comprehensive health platform focused on improving healthcare experiences. The Co-Op Student Software Engineer will help develop AI-powered healthcare systems for clinical reasoning, conversational guidance, and member adherence automation within the Navigating Care team.

Responsibilities

• Work on the system that interprets member biology to provide clinically grounded planning and actions. Turn lab results, biomarkers, and health data into personalized, doctor-quality recommendations
• Help build our AI doctor, a conversational experience that can reason about a member's health, answer questions, and guide them through next steps with the depth and care of a real physician
• Build systems that help members follow through on their health guidance. Design intelligent nudges, reminders, and follow-ups that adapt to each member's needs and progress

Skills

• This co-op program is currently open to Northeastern University students only
• You already use LLMs as a daily tool to write, debug, and reason through problems
• You know how to steer a model toward useful output and when to stop prompting and start thinking
• Strong fundamentals in backend or full-stack development
• Interest in LLMs, agentic systems, and applied AI
• Comfortable working with APIs, data pipelines, and cloud environments (GCP experience is a plus, not a requirement)
• Curiosity about healthcare, clinical data, or how technology can improve health outcomes
• A bias toward making things simpler, not just adding more
• Currently pursuing a degree in Computer Science, Software Engineering, or a related field
• GCP experience

Qualifications

Must Haves

• This co-op program is currently open to Northeastern University students only
• You already use LLMs as a daily tool to write, debug, and reason through problems
• You know how to steer a model toward useful output and when to stop prompting and start thinking
• Strong fundamentals in backend or full-stack development
• Interest in LLMs, agentic systems, and applied AI
• Comfortable working with APIs, data pipelines, and cloud environments (GCP experience is a plus, not a requirement)
• Curiosity about healthcare, clinical data, or how technology can improve health outcomes
• A bias toward making things simpler, not just adding more
• Currently pursuing a degree in Computer Science, Software Engineering, or a related field

Nice to Haves

• GCP experience

Benefits

• Remote work arrangement