Hinge Health - Senior Software Engineer

• 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 • 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. • feature-flag-gated deployments • Collaborate with Data Science teams to author Technical Design Documents (TDDs) that govern how ML model outputs are consumed into operational pipelines, aligning engineering, DS, and product before implementation begins. • Technical Design Documents (TDDs) • Wire ML model prediction outputs into the CDP via Segment custom events, bridging DS/ML model scoring to member-facing campaign activation in Iterable. • ML model prediction • Provision and manage Terraform infrastructure for data platform resources — declaring Segment Reverse ETL models, destinations, alerts, and SQL permission resources to deploy data pipelines and CDP integrations as code serving as the resilience layer alongside real-time Kafka paths. • Terraform infrastructure • Author DBT/SQL data models across growth and analytics — writing CTEs, deduplication logic, and multi-source joins to produce clean, growth-analytics-ready tables consumed by Segment, and downstream marketing systems. • DBT/SQL data models • Implement Databricks PySpark jobs for capturing growth data signals — including Spark streaming with Change Data Capture patterns for behavioral events with checkpoint-based fault tolerance and incremental state management. • Databricks PySpark jobs • Setup data quality monitoring and alerting for dbt models, dbr pipelines, event consumers, for pipeline health & critical failures, leveraging Datadog metrics, Metaplane monitoring and PagerDuty escalations maintaining pipeline SLAs on production environments. • Datadog metrics, Metaplane monitoring • Treat data quality as a first-class product requirement by implementing automated checks, observability, and lineage that ensure trusted data delivery to downstream growth and marketing systems. • Experience with healthcare technology or regulated environments • Experience with Agile development practices • Experience building multi-agent orchestration systems using Temporal, LangGraph, or similar frameworks for durable, human-in-the-loop workflows • 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 that involves regular interaction and collaboration with Hinge Health colleagues in San Francisco, CA. • 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). • Time zones: • 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). • Hours: