Senior Product Engineer – Full Stack

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop features comprehensively for enrollment and sales teams, clinicians, and operations.

• Collaborate closely with Product to shape, design, deliver, assess, and refine products.

• Integrate LLM models to enhance clinical and member experiences.

• Work with Clinical, Sales, and other stakeholders to comprehend workflows and pinpoint high-impact issues.

• Take ownership of product outcomes, encompassing success metrics, solution design, delivery, evaluation, and iteration.

• Create intuitive frontend experiences, dependable backend services, event-driven workflows, data flows, and third-party integrations.

• Make system design and overarching architectural decisions regarding data models, failure modes, scalability, and cost.

• Utilize AI coding agents while ensuring quality through specifications, acceptance criteria, tests, typed contracts, and thorough reviews.

• Develop AI-driven product features with structured outputs, evaluations, and safe fallback mechanisms.

• Safeguard patient data, maintain audit trails, utilize feature flags and progressive rollouts, and ensure data accuracy.

• Monitor production services, respond to incidents, identify root causes, and enhance reliability, observability, and performance.

• Engage in on-call rotations and incident response.

• Communicate decisions, trade-offs, risks, and progress to engineers, stakeholders, and leadership.

⛳️ Requirements

• Extensive experience in developing production software, with practical expertise in both frontend and backend.

• A proven track record of delivering user-facing features where you influenced the scope, not merely executed tasks.

• Effective communication skills with non-engineers, and comfort working directly with internal teams.

• Strong system design capabilities: data modeling, APIs, failure handling, observability, reliability, and security by design.

• You test and monitor your work, showing concern when metrics are inaccurate.

• Regularly utilize AI coding assistants, with the judgment to discern when to question their output.

• 5+ years of professional software development experience, including substantial time spent building and managing cloud-based production systems from end to end.

• Demonstrated system design expertise, including services, APIs, data models, and integrations that have proven reliable in production.

• Consistent, hands-on experience with AI coding agents on a production codebase, employing testing strategies, review practices, and quality safeguards.

• Experience in deploying LLM-powered features using cutting-edge models to production while ensuring reliable operation, including evaluations and fallback mechanisms.

• Proficient in prompt and context management, versioned prompts, retries, timeouts, fallbacks, and privacy-safe logging.

• Skilled in handling sensitive data securely, including access controls, encryption, and audit logging.

• Background in a startup or similarly fast-paced environment where engineers assume broad ownership.

• Bachelor’s degree in Computer Science, a related technical field, or equivalent hands-on experience.

• Strong frontend and backend expertise across the technology stack.

• Experience with React, Go, Java with Spring Boot, or comparable backend technologies.

• Familiarity with AWS, including Lambda, SQS, DynamoDB, and API Gateway.

• Experience with MongoDB and Redis, or similar data stores.

• Proficient with Docker and Kubernetes.

• Experience with infrastructure as code tools, such as Terraform, AWS CloudFormation, or AWS CDK.

• Knowledgeable in logging, monitoring, alerting, and observability tools.

• Familiar with LLM provider APIs, structured outputs, function calling, tool usage, streaming, rate limits, timeouts, provider errors, evaluation suites, tracing, and production-quality monitoring.

• Experience with AI coding agents such as Claude Code, Cursor, or Codex, along with automated tests, typed interfaces, static analysis, and CI quality gates.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Flexible working hours and remote work options.

• Health, dental, and vision insurance.

• Opportunities for professional development and career advancement.

• Collaborative and innovative work environment.