Hinge Health
Hinge Health
Hinge Health is a digital health company focused on virtual musculoskeletal care. Its app-based programs combine guided physical therapy, pelvic floor therapy, and support from physical therapists, health coaches, and orthopedic specialists. AI-enabled tools and 3D motion tracking help personalize the care experience, while the FDA-cleared Enso wearable provides drug-free pain relief. Hinge Health serves individual patients as well as employers and health plans through value-based, outcomes-focused programs.

Senior Backend Software Engineer – AI Clinical Agents at Hinge Health, Bengaluru Hybrid

Build AI-powered clinical agents and scalable care platforms at Hinge Health. Develop Node.js and TypeScript backend systems that support musculoskeletal healthcare delivery.

Description

  • Build and maintain scalable software that helps improve member health outcomes
  • Partner with product, design, and engineering teams to deliver features while strengthening maintainability, reliability, and performance
  • Help develop AI solutions that automate workflows and enhance care delivery
  • Lead large projects and new product capabilities while maintaining critical code repositories
  • Decompose complex problems, support predictable delivery, and investigate incident root causes
  • Shape and execute technical roadmaps while balancing immediate needs with long-term trade-offs
  • Mentor junior engineers through code reviews, pairing, and ongoing support
  • Create AI-powered clinical agents with LangGraph.js and NestJS
  • Use LangSmith for AI observability, prompt management, tracing, evaluation pipelines, and CI-gated quality checks
  • Build and maintain LLM-based agentic workflows, including Claude Sonnet integrations through AWS Bedrock
  • Contribute to the Member-Centric Knowledge Graph and retrieval-augmented generation systems
  • Advance feature maintainability, availability, performance, architecture, and developer tooling
  • Explain technical concepts clearly and document engineering solutions
  • Support production systems in a continuous-deployment DevOps environment

Requirements

  • Bachelor’s degree or equivalent in computer science, engineering, or a related technical discipline
  • At least 5 years of full-time professional software development experience, excluding internships
  • At least 3 years of professional experience with Node.js and TypeScript
  • Experience using AI-assisted development tools such as GitHub Copilot or Cursor
  • Experience delivering substantial software projects or production features
  • At least 1 year of practical experience building LLM applications, including prompt engineering, model integration, and AI output evaluation
  • Experience with agentic AI frameworks such as LangGraph, LangChain, or comparable orchestration libraries for stateful, multi-step workflows
  • Familiarity with LangSmith or similar platforms for AI tracing, prompt management, evaluation, and regression testing
  • Knowledge of responsible AI practices, including PHI and PII protection, guardrails, and output validation in healthcare or regulated settings
  • Willingness to work from the Bengaluru office three days per week
  • Availability for occasional late-evening meetings aligned with San Francisco working hours
  • Preferred: experience applying AI technologies to software design and coding assistance
  • Preferred: experience mentoring or onboarding junior engineers
  • Preferred: familiarity with distributed systems, cloud infrastructure, or scalable architectures
  • Preferred: experience working with healthcare technology or regulated environments
  • Preferred: backend engineering experience with Node.js
  • Preferred: experience deploying solutions on AWS
  • Preferred: experience with Agile development practices
  • Preferred: hands-on experience with LangGraph.js, LangSmith Hub, RAG architectures, vector search, embedding-based retrieval, and multi-agent orchestration

Benefits

  • Comprehensive medical, dental, and vision insurance
  • Group Medical Coverage (GMC)
  • Group Term Life Insurance (GTL)
  • Group Personal Accident Insurance (GPA)
  • Lifestyle stipend for broader well-being support
  • Learning and professional development opportunities
  • Discounted company stock through an Employee Stock Purchase Plan funded by payroll deductions
  • Hybrid work arrangement

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