Senior Product Engineer (Full Stack)

CopilotIQ; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

CopilotIQ, part of the health tech team with Biofourmis, seeks a Senior Product Engineer to own end-to-end features for our care platform. You will collaborate with enrollment, sales, clinicians, and operations, shaping problems with Product, and delivering production-grade solutions that leverage AI to improve patient and member experiences.

You will design scalable systems, ship user-facing features, and ensure reliability and security with data models, APIs, and observability.

Qualifications

• 5+ years of professional software development, incl. cloud-based production systems.
• Demonstrated system design skills across services, APIs, data models, and integrations.
• Sustained, hands-on use of AI coding agents in production with quality controls.
• Experience shipping LLM-powered features with evals and safe fallbacks.
• Experience handling sensitive data securely, incl. access controls and audit logging.
• Experience in a startup or fast-moving environment with broad ownership.
• Bachelor's degree in CS or related field.

Responsibilities

• Shadow workflows with Clinical, Sales and other teams to identify high-impact problems.
• Partner with Product to own product outcomes end to end: frame the problem, track metrics, design the solution, ship and iterate.
• Build across the stack: frontend UX, backend services, event-driven workflows, data flows, and third-party integrations.
• Make sound system design decisions for data models, failure modes, scalability, and cost.
• Build with AI coding agents as a primary working method, with clear specs, tests, and guardrails.
• Develop AI-powered features with real value, including structured outputs, evals and safe fallbacks.
• Protect patient data with audit trails, feature flags, and progressive rollouts.
• Own production services: monitor, respond to incidents, perform root-cause analysis, and participate in on-call rotations.
• Communicate decisions, tradeoffs, risks, and progress clearly to engineers and leadership.

Skills

Frontend & Backend

AI/LLM integration

Cloud production

System design

Cross-team comms

Education

Bachelor's degree in CS or related field

Tools

React

Go

Spring Boot

AWS

Job description

At the forefront of health tech innovation, CopilotIQ + Biofourmis is transforming in-home care with the industry's first AI-driven platform that supports individuals through every stage of their health journey-from pre-surgical optimization to acute, post-acute and chronic care. We are helping people live healthier, longer lives by bringing personalized, proactive care directly into their homes. With CopilotIQ's commitment to enhancing the lives of seniors with chronic conditions and Biofourmis' advanced data-driven insights and virtual care solutions, we're setting a new standard in accessible healthcare. If you're passionate about driving real change in healthcare, join the CopilotIQ+Biofourmis Team!

What is the Senior Product Engineer role?

You'll build features end to end for the people who run our care program: enrollment and sales teams, clinicians, and operations. You'll work closely with Product to shape what we build, then own it through design, delivery and production. Our engineers also integrate with LLM models to lift the clinical and member experience. We treat those like any other feature: start from the user's problem, ship something reliable, and measure whether it worked.

What we're looking for

• Extensive experience building production software, with real experience on both frontend and backend
• A record of shipping user-facing features where you shaped the scope, not just implemented tickets
• Clear communication with non-engineers, and comfort working directly with internal teams
• Solid system design: data modeling, APIs, failure handling, observability, reliability, security by design
• You test and monitor your own work, and you care when numbers are wrong
• Regular use of AI coding assistants, and the judgment to know when not to trust them

Responsibilities

• Work embedded with our stakeholders, Clinical, Sales and more: shadow their workflows, understand their goals, and identify the highest-impact problems to solve, including ones no one has written a requirement for yet.
• Partner with Product to own product outcomes end to end: frame the problem, track success metrics, design the solution, ship it, measure the results, and iterate.
• Build across the stack, including intuitive frontend experiences, reliable backend services, event-driven workflows, data flows, and third-party integrations.
• Make sound system design decisions for our services and workflows, with clear thinking about data models, failure modes, scalability, and cost, and contribute to broader architectural decisions.
• Build with AI coding agents as your primary way of working, and own the quality of what ships: clear specs and acceptance criteria up front, tests the agent's code must pass, typed contracts, and careful review of every change that touches patient data, clinical logic, or billing.
• Build AI-powered product features where they add real value, with structured outputs, evals, and safe fallback behavior.
• Treat quality and safety as part of the job: protect patient data, maintain audit trails, ship behind feature flags with progressive rollouts, and verify data accuracy end to end.
• Own the production services you build: monitor them, respond to incidents, find root causes, and continuously improve reliability, observability, and performance. Participate in on-call rotations and incident response.
• Communicate decisions, tradeoffs, risks, and progress clearly to engineers, stakeholders, and leadership, in writing and in person.

Qualifications

• 5+ years of professional software development experience, including significant time building and operating cloud-based production systems end to end.
• Demonstrated system design skills: you've designed services, APIs, data models, and integrations that held up in production, and you can walk through the tradeoffs you made.
• Sustained, hands-on use of AI coding agents on a production codebase, with concrete examples of how you kept quality high (testing strategy, review practices, and guardrails you put in place).
• Experience shipping LLM-powered features, using frontier models, to production and operating them reliably, with evals and fallback behavior in place. Built the harness around the model: prompt and context management, versioned prompts, retries, timeouts and fallbacks when the model is slow, wrong or unavailable, and logging that doesn't leak sensitive data.
• Experience handling sensitive data securely, including access controls, encryption, and audit logging.
• Experience in a startup or similarly fast-moving environment where engineers take broad ownership.
• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

Technical Experience

We expect candidates to be strong across the stack, with deeper expertise in at least one area. Our core stack includes: React, with experience building polished, production-grade web applications. Go, Java with Spring Boot, or a comparable backend language and framework. AWS