Senior AI Engineer, Proactive Comms

The role

You will own the production path that turns models and AI capabilities into dependable member-facing experiences. You will design and operate deployment, serving, release automation, monitoring, rollback, orchestration, and backend integration systems.

What you will do

• Build context on member experience, communication systems, model lifecycle, data flows, and operational requirements.
• Establish a baseline for the health of key AI-backed services including SLOs, deployment paths, and observability.
• Ship improvements to developer experience, testing, release safety, or incident response.
• Own the design and delivery of a production MLOps or distributed-systems initiative.
• Build or improve safe promotion patterns for model-backed services.
• Partner with ML Scientists and Data Engineering to define interfaces, data contracts, and production-readiness criteria.
• Operate reliable online and batch inference capabilities.
• Create reusable patterns for APIs, services, queues, durable workflows, monitoring, and incident response.
• Lead through influence by shaping technical decisions and mentoring engineers.
• Perform on-call, incident response, debugging, and root-cause analysis.

Required qualifications

• 3+ years of non-internship, full-time professional software engineering experience.
• 3+ years designing, building, and operating backend or distributed systems in production.
• Experience participating in on-call and incident response.
• Experience deploying and operating ML- or AI-backed services in production.
• Proficiency in Python.
• Proficiency in at least one production backend language such as TypeScript/JavaScript, Go, Java, or Kotlin.

Nice to have

• Experience building or operating MLOps or ML platform capabilities
• Experience with online inference, batch scoring, recommendation systems, ranking, propensity models, or send-time optimization
• Experience with AWS and production technologies such as Kubernetes, Docker, Kafka, PostgreSQL, Airflow, Databricks, MLflow, or equivalent systems
• Experience with workflow orchestration and long-running state, including Temporal, Step Functions, Cadence, or a comparable system
• Experience building observability for ML systems
• Experience partnering with ML Scientists or Data Scientists to define production interfaces
• Experience integrating generative AI, LLMs, retrieval, agents, or model evaluation into production products
• Experience in healthcare, digital health, fintech, or another regulated or data-sensitive domain

Benefits

• Medical, dental, and vision coverage
• Gender-affirming care help
• Tools for family and fertility planning
• Travel reimbursements if healthcare isn't available where you live
• Traditional or Roth 401k retirement plan options with a 2% company match
• Learning and development stipends
• Discounted company stock through ESPP

About the company

Hinge Health uses technology to scale and automate the delivery of healthcare for musculoskeletal (MSK) conditions. The company is headquartered in San Francisco with additional offices in Montreal and Bangalore.