[Hiring] Senior Product Engineer @CopilotIQ

Role Description

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.

• Start from the user’s problem, ship something reliable, and measure whether it worked.

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: designed services, APIs, data models, and integrations that held up in production.
• Sustained, hands-on use of AI coding agents on a production codebase.
• Experience shipping LLM-powered features to production and operating them reliably.
• 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.

Requirements

• 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: shadow their workflows, understand their goals, and identify the highest-impact problems to solve.
• 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.
• Build with AI coding agents as your primary way of working, and own the quality of what ships.
• Build AI-powered product features where they add real value.
• Treat quality and safety as part of the job: protect patient data, maintain audit trails, and verify data accuracy end to end.
• Own the production services you build: monitor them, respond to incidents, and continuously improve reliability.
• Communicate decisions, tradeoffs, risks, and progress clearly to engineers, stakeholders, and leadership.

Technical Experience

• Strong across the stack, with deeper expertise in at least one area.
• 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, including services such as Lambda, SQS, DynamoDB, and API Gateway.
  • MongoDB and Redis, or comparable data stores.
  • Docker and Kubernetes.
  • Infrastructure as code, such as Terraform, AWS CloudFormation, or AWS CDK.
  • Logging, monitoring, alerting, and observability tooling.
  • LLM provider APIs, including structured outputs, function calling, and tool use.
  • AI coding agents such as Claude Code, Cursor, or Codex.

Bonus Points For

• Experience in healthcare, digital health, telehealth, or care delivery.
• Working knowledge of HIPAA as it applies to patient information.
• Experience with model routing, cascading, or multi-provider orchestration for LLM workloads.
• Built polished, patient-facing mobile experiences (on React Native).
• Experience building products for clinicians, care teams, sales teams, operational users, or older adults.