Sr. Software Engineer, GI

About the role

This role is for a builder who will define the technical direction of a brand new digital care product for the gastrointestinal (GI) market from day one. You will own the end-to-end implementation of a product line that does not yet exist within Hinge Health, shaping architecture decisions that impact millions of members. The position requires deep collaboration with cross-functional partners to translate clinical and business requirements into robust software solutions. You will validate your technical hypotheses through rapid experimentation and data-driven iterations. Ultimately, you will be responsible for delivering a high-quality, performant, and accessible experience that sets a new standard in digital GI care.

Key facts

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Location: USA

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Engagement: Full-time

What you'll do

• Define the initial technical roadmap and architecture for the new GI product line, setting the foundation for future scalability and innovation.
• Lead the design and implementation of core services using modern backend and frontend technologies, ensuring alignment with Hinge Health's AI-driven platform strategy.
• Translate complex product requirements into technical specifications, breaking down ambiguous problems into clear, actionable engineering tasks.
• Build and deploy high-impact features on a strict timeline, balancing speed of delivery with long-term maintainability and code quality.
• Establish and enforce best practices for testing, monitoring, and CI/CD to create a robust and reliable software development lifecycle.
• Partner with data and analytics teams to implement event tracking and experiments, enabling evidence-based decisions for product optimization.
• Integrate third-party medical devices and APIs, ensuring secure and reliable communication between hardware, services, and user applications.
• Mentor junior engineers through code reviews and collaborative sessions, elevating the entire team's engineering standards and capabilities.
• Investigate and resolve production incidents with root cause analysis, implementing preventative measures to improve system resilience.
• Explore and prototype emerging AI technologies to enhance user workflows and automate repetitive tasks within the care journey.

Requirements

• 0-1 Builder: You have a proven track record of building brand new products from scratch, demonstrating comfort with ambiguity and ownership.
• AI-Driven development: You have been using the latest AI software development techniques (e.g., teams of AI Agents) and continuously look for new AI techniques that can improve your productivity.
• You move fast, know how to balance innovation vs reuse, and deliver clear business results while maintaining high standards of quality.
• Hands-on engineer: You're reading and writing code across the tech stack (e.g., React Native, BFF/full-stack web, GraphQL, AI Agents, Computer Vision, Medical Device Integration, etc.), and you use that fluency to coach, review, and set technical direction.
• Experiment-driven operator: You think in terms of hypotheses, sample sizes, and decision rules, and you can run a dense A/B experimentation roadmap without sacrificing quality.
• Team mentor and collaborator: You enjoy leveling up a strong but more junior team through pairing, code reviews, and knowledge sharing.
• You communicate clearly with both technical and non-technical stakeholders, ensuring alignment between engineering, product, and business objectives.
• You are disciplined in your craft, writing clean, testable code that is easy to understand, maintain, and extend over time.

Who you are

• 0-1 Builder: We are looking for an engineer with a track record of building brand new products from scratch.
• AI-Driven development: You have been using the latest AI software development techniques (e.g., teams of AI Agents) and continuously look for new AI techniques that can improve your productivity.
• You move fast, know how to balance innovation vs reuse, and deliver clear business results.
• Hands-on engineer: You're reading and writing code across the tech stack (e.g., React Native, BFF/full-stack web, GraphQL, AI Agents, Computer Vision, Medical Device Integration, etc.), and you use that fluency to coach, review, and set technical direction.
• Experiment-driven operator: You think in terms of hypotheses, sample sizes, and decision rules, and you can run a dense A/B experimentation roadmap without sacrificing quality.
• Team mentor and collaborator: You enjoy leveling up a strong but more junior team through pairing, code reviews, and knowledge sharing.