Senior Product Engineer – Full Stack

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🔥 2 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

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CopilotIQ

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

☁️ SaaS

🤖 Artificial Intelligence

💰 Series B on 2024-11

Healthcare • SaaS • Artificial Intelligence

CopilotIQ is an AI-driven healthcare company that provides a remote patient monitoring and clinical engagement platform for people with chronic conditions, primarily diabetes and hypertension. The company combines an AI-powered analytics engine (remoteIQ) with deep longitudinal data — biomarkers, social determinants of health, behavioral data, and medication adherence — to monitor members in real time, provide early warnings, and enable personalized interventions by US-based licensed nurses and clinical teams. CopilotIQ markets its solution to payors (including Medicare Advantage plans) and emphasizes measurable outcomes such as reductions in ER visits, hospitalizations, hypoglycemic and hyperglycemic events, medication reductions, and high retention and engagement metrics. The company also operates under HIPAA privacy practices and offers telemedicine/clinical services through affiliated medical entities.

📋 Description

• Build features end to end for enrollment and sales teams, clinicians, and operations • Work closely with Product to shape, design, deliver, measure, and iterate on products • Integrate LLM models to improve clinical and member experiences • Work with Clinical, Sales, and other stakeholders to understand workflows and identify high-impact problems • Own product outcomes, including success metrics, solution design, delivery, measurement, and iteration • Build intuitive frontend experiences, reliable backend services, event-driven workflows, data flows, and third-party integrations • Make system design and broader architectural decisions covering data models, failure modes, scalability, and cost • Build with AI coding agents and ensure quality through specifications, acceptance criteria, tests, typed contracts, and careful review • Build AI-powered product features with structured outputs, evaluations, and safe fallback behavior • Protect patient data, maintain audit trails, use feature flags and progressive rollouts, and verify data accuracy • Monitor production services, respond to incidents, identify root causes, and improve reliability, observability, and performance • Participate in on-call rotations and incident response • Communicate decisions, tradeoffs, risks, and progress to engineers, stakeholders, and leadership

🎯 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 • 5+ years of professional software development experience, including significant time building and operating cloud-based production systems end to end • Demonstrated system design skills, including services, APIs, data models, and integrations that held up in production • Sustained, hands-on use of AI coding agents on a production codebase, with testing strategies, review practices, and quality guardrails • Experience shipping LLM-powered features using frontier models to production and operating them reliably, with evals and fallback behavior • Experience with prompt and context management, versioned prompts, retries, timeouts, fallbacks, and privacy-safe logging • 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 • Strong frontend and backend experience across the stack • Experience with React, Go, Java with Spring Boot, or comparable backend technologies • Experience with AWS, including Lambda, SQS, DynamoDB, and API Gateway • Experience with MongoDB and Redis, or comparable data stores • Experience with Docker and Kubernetes • Experience with infrastructure as code, such as Terraform, AWS CloudFormation, or AWS CDK • Experience with logging, monitoring, alerting, and observability tooling • Experience with LLM provider APIs, structured outputs, function calling, tool use, streaming, rate limits, timeouts, provider errors, eval suites, tracing, and production quality monitoring • Experience with AI coding agents such as Claude Code, Cursor, or Codex, plus automated tests, typed interfaces, static analysis, and CI quality gates

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