Senior Software Engineer

About this role

THE OPPORTUNITY

As a Senior Software Backend Engineer at Hinge Health, you will play a pivotal role in designing, building, and maintaining large-scale software solutions that directly impact our members’ health outcomes. You will collaborate with cross-functional partners, including product managers and designers, to deliver new product capabilities and improve the maintainability, availability, and performance of our features. This role is essential to advancing our mission of transforming joint and muscle care through technology, including the integration of AI-driven solutions to automate and enhance care delivery. Hinge Health software engineers work on small interdisciplinary teams focused on different parts of the user journey.

Backend engineers at Hinge Health contribute to their team’s success by architecting and implementing end-to-end solutions, well-tested performant APIs and data models. In addition, candidates will profile their systems to stay out ahead of scaling bottlenecks, and help maintain a high bar with thoughtful and constructive code reviews.

We enjoy a continuous deployment DevOps culture, and take owner-operator pride in supporting our code in production. Our production systems rely on React Native, React, Node.js, TypeScript, Nestjs, GraphQL, Docker, Rails, AWS, Postgres, Redis, Apollo, and Redux. Our workflow is trunk-based CI/CD, and our security/compliance posture is at the highest standards of healthcare, including HIPAA, HITRUST, SOC 2, and CCPA.

WHAT YOU'LL ACCOMPLISH

- Deliver large projects that introduce new product capabilities, often acting as a maintainer for key code repositories.

- Break down complex problems into manageable tasks, ensuring steady and predictable delivery while identifying and resolving root causes of incidents.

- Collaborate with your team to roadmap and execute ambitious technical strategies, balancing short-term and long-term trade-offs.

- Mentor and support junior engineers, providing thoughtful code reviews and real-time pairing.

- Design and build AI-powered clinical agents using LangGraph.js for stateful orchestration, composing multi-node StateGraphs that handle context gathering, LLM reasoning, and action execution within a shared NestJS service.

- Integrate LangSmith for end-to-end AI observability, including prompt versioning and management via LangSmith Hub, automated per-node tracing, evaluation pipelines with golden datasets, and CI-gated quality checks that block regressions before merge.

- Develop and maintain agentic workflows that leverage LLMs (Claude Sonnet via AWS Bedrock)

- Contribute to the Member-Centric Knowledge Graph and RAG-based retrieval systems that give agents the clinical context, causal evidence, and relationship awareness needed for intelligent decision-making.

- Proactively improve the maintainability, availability, and performance of the team's features, and contribute to the team's overall architecture and developer tooling.

- Communicate technical ideas clearly to both technical and non-technical partners, and document solutions for future reference.

WHO YOU ARE

- A "Learn-it-all": You are proficient in modern stacks (TypeScript, Node.js) but remain curious. You leverage AI tools to accelerate your workflow and are eager to explore new technologies to solve complex problems.

- A Trust Builder: You communicate complex technical ideas clearly to both technical and non-technical partners (Product Managers, Designers), ensuring everyone is aligned on shared goals.

- Resilient & Solution-Oriented: You break down complex problems into manageable tasks, navigating ambiguity to deliver results even when the path isn't perfectly defined.

- An Owner-Operator: You take pride in supporting your code in production, embracing a DevOps culture where you build, deploy, and own your solutions.

BASIC QUALIFICATIONS

- Bachelor’s Degree (or equivalent) in Computer Science, Engineering or related technical field

- At minimum, 3-4 years of non-internship full time professional software development experience

- 3+ years of work experience Node JS/ Typescript

- Experience with using AI tools such as Github copilot or Cursor

- Experience delivering large software projects or features in a production environment.

- 1+ years of hands-on experience building applications with LLMs, including prompt engineering, model integration (e.g., OpenAI, Anthropic/Claude, AWS Bedrock), and evaluating AI output quality

- Experience with agentic AI frameworks such as LangGraph, LangChain, or similar orchestration libraries for building stateful, multi-step AI workflows

- Familiarity with LangSmith or equivalent AI observability/evaluation platforms for tracing, prompt management, and regression testing of LLM-powered features

- Understanding of responsible AI practices including PHI/PII handling, guardrails, and output validation in healthcare or regulated environments

PREFERRED QUALIFICATIONS

- Experience with AI technologies for software design and coding assistance

- Experience mentoring or onboarding junior engineers

- Familiarity with distributed systems, cloud infrastructure, or scalable architectures

- Experience with healthcare technology or regulated environments

- Backend engineer with exposure to technology like NodeJS

- Experience on hosting the solution on Cloud like AWS

- Experience with Agile development practices

- Hands-on experience with LangGraph.js for building composable subgraphs, conditional routing, and checkpointed state management in production AI systems

- Experience with LangSmith Hub for prompt versioning, A/B testing prompt variants across environments, and building CI-gated evaluation pipelines with golden datasets

- Experience with RAG (Retrieval-Augmented Generation) architectures, vector search, or embedding-based retrieval systems

- Experience building multi-agent orchestration systems using Temporal, LangGraph, or…