Senior Software Engineer-Backend

The Opportunity

As a Senior Software Backend Engineer at Hinge Health, you will play a key role in designing, building, and maintaining scalable software solutions that directly improve member health outcomes. You will work closely with cross-functional partners, including product managers, designers, and fellow engineers, to deliver new capabilities and enhance the maintainability, reliability, and performance of our products.

In this role, you will help advance Hinge Health’s mission to transform joint and muscle care through technology. This includes contributing to AI-driven solutions that automate workflows, improve care delivery, and create better experiences for both care teams and members. Hinge Health engineers work in small, interdisciplinary teams aligned to different parts of the member journey, with strong ownership from development through production.

You will join the CareHub team, which is building the platform where care happens at Hinge Health. CareHub is the unified system that equips physical therapists, health coaches, care managers, and other care teams with the tools they need to deliver personalized, high-quality musculoskeletal care. It brings together member history, care plans, documentation, communication, and daily workflows in one place, enabling clinicians to spend less time navigating systems and more time supporting members.

As CareHub 2.0 evolves, the team is modernizing the platform to improve performance, scalability, and user experience, while also introducing AI-powered capabilities that simplify workflows and increase operational efficiency across care delivery.

We operate in a continuous deployment DevOps culture and take owner-operator pride in supporting our code in production. Our production systems use technologies including React Native, React, Node.js, TypeScript, NestJS, GraphQL, Docker, Rails, AWS, Postgres, Redis, Apollo, and Redux. Our engineering workflow follows trunk-based CI/CD, and our security and compliance standards meet the demands 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.

Hinge Health Hybrid Model

We believe that remote work and in-person work have their own advantages and disadvantages, and we want to be able to leverage the best of both worlds. Employees in hybrid roles are required to be in the office 3 days/week.

This is a Bengaluru-based role that involves regular interaction and collaboration with Hinge Health colleagues in San Francisco, CA.

Time zones: San Francisco is in the Pacific Time Zone, which is 12 hours and 30 minutes behind India Standard Time (e.g., 8am in San Francisco is 8:30pm in Bengaluru).

Hours: Applicants should be open to meetings in the late evening following India Standard Time to align with San Francisco working hours (8am - 6pm PT).

Basic Qualifications

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

5+ 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 similar frameworks for durable, human-in-the-loop workflows

About Hinge Health

At Hinge Health, we’re using technology to scale and automate the delivery of healthcare – starting with musculoskeletal (MSK) conditions, which affect over 1.7 billion people worldwide. With an AI-powered human-centered care model, Hinge Health leverages cutting-edge technology to improve outcomes, experiences and costs to help people move beyond their pain. The platform addresses a broad spectrum of MSK care – from acute injury, to chronic pain, to post-surgical rehabilitation – through personalized, evidence-based care.

As the preferred partner to 50+ health plans, PBMs and other ecosystem partners, Hinge Health is available to over 20 million people across more than