Senior Software Engineer

Hinge Health; Bengaluru; On-site; INR 3,000,000 - 5,500,000; Full time

Benefits offered by this job

Healthcare benefits

Lifestyle stipend

Employee stock purchase plan (ESPP)

Job summary

Hinge Health is hiring for a Growth Data Platform engineer in Bengaluru to build the decision engine behind growth initiatives. You will develop AI-powered agents using LangGraph.js, orchestrating multi-node stateful workflows and integrating LangSmith for observability.

The role emphasizes collaboration, mentorship, and delivering scalable growth features. You will work in a hybrid setup, coordinating with teams across time zones.

Qualifications

• Bachelor’s Degree in Computer Science, Engineering or related technical field.
• 3–4+ years of non-internship full-time software development experience.
• 3+ years of work experience with Node.js/TypeScript.
• Experience with AI tools such as GitHub Copilot or Cursor.
• Experience delivering large software projects or features in production.
• 1+ years building applications with LLMs, including prompt engineering, model integration (e.g., OpenAI, Anthropic/Claude, AWS Bedrock).
• Experience with agentic AI frameworks such as LangGraph, LangChain, or similar orchestration libraries.
• Familiarity with LangSmith or equivalent AI observability/evaluation platforms.

Responsibilities

• Deliver large projects introducing new product capabilities and maintain key code repositories.
• Break down complex problems into manageable tasks and ensure steady delivery.
• Collaborate with team to roadmap and execute ambitious technical strategies.
• Mentor and support junior engineers with code reviews and pairing.
• Design and build AI-powered clinical agents using LangGraph.js for stateful orchestration.
• Integrate LangSmith for end-to-end AI observability and quality checks.
• Develop agentic workflows using LLMs like Claude Sonnet via AWS Bedrock.
• Contribute to knowledge graphs and retrieval systems for intelligent decision making.
• Improve maintainability, availability, and performance of features.
• Communicate technical ideas clearly to technical and non-technical partners.

Skills

Node.js/TypeScript

LLM integration

AI tooling

Code reviews

Mentoring

LangGraph.js

LangSmith

AWS Bedrock

NestJS

Education

Bachelor's degree in Computer Science or related field

Tools

LangGraph.js

LangSmith

AWS Bedrock

NestJS

Job description

The Opportunity

Join the Growth Data Platform team to build the decision engine behind Hinge Health’s growth. GDP is the platform that powers the data pipelines, event streams, and intelligence layer that shape member experiences across the growth journey, from the first marketing touchpoint to personalized engagement moments like Daily Streak notifications.

The Opportunity

Join the Growth Data Platform team to build the decision engine behind Hinge Health’s growth. GDP is the platform that powers the data pipelines, event streams, and intelligence layer that shape member experiences across the growth journey, from the first marketing touchpoint to personalized engagement moments like Daily Streak notifications.

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.
  
  

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
• At minimum, 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
  
  

Preferred Qualifications

• 5 + years of non-internship full time professional software development experience
• Bachelor’s Degree (or equivalent) or Masters in Computer Science, Engineering or related technical field
• 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
• Implement feature-flag-gated deployments for growth infrastructure changes, ensuring safe rollout of new event handling and email delivery logic without disrupting existing member journeys.
• Understanding of responsible AI practices including PHI/PII handling, guardrails, and output validation in healthcare or regulated environments
• Experience writing ML model prediction outputs into the CDP via Segment custom events, bridging DS/ML model scoring to member-facing campaign activation in Iterable.
  
  

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 2,550 employers. The company is headquartered in San Francisco with additional offices in Montreal and Bangalore. Learn more at http://www.hingehealth.com/

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

• 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).
  
  

What You’ll Love About Us

• Inclusive healthcare and benefits: In addition to comprehensive medical, dental, and vision coverage, we provide employees and their family members with Group Medical Coverage (GMC), Group Term Life Insurance (GTL), and Group Personal Accident Insurance (GPA).
• Well-being & Growth: We offer a lifestyle stipend to support your overall well-being, along with learning and development opportunities to help you grow both personally and professionally.
• Ownership: Grow with us through discounted company stock through our ESPP with easy payroll deductions.
  
  

Culture & Engagement

Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law.

By submitting your application you are acknowledging we are using your personal data as outlined in the Personnel and Candidate Privacy Policy.

Beware of Phishing Attempts: We've noticed an increase in phishing where fraudsters impersonate employees and send fake job offers to steal sensitive information. We'll never ask for financial details during the hiring process and only use "@hingehealth.com" emails. If you receive a suspicious offer, stop communication and report it to the US FBI Internet Crime Complaint Center. To verify an email from our recruiting team, forward it to [e-mail].