Senior AI Engineer
Hinge Health13 days ago
Responsibilities
- Build and maintain reliable, low-latency, cost-efficient production systems serving LLMs, VLMs, and other multimodal models at scale.
- Create offline and online evaluation and validation pipelines for reasoning quality, model behavior, hallucination risk, policy compliance, latency, and regression detection.
- Develop orchestration, state management, tool execution, guardrails, backend services, and infrastructure for production reasoning agents.
- Design telemetry and observability systems, including dashboards, traces, logs, alerts, and performance analytics for model inference and agent workflows.
- Optimize throughput, capacity, fallback behavior, model routing, and infrastructure utilization for millions of active users.
- Evaluate and standardize tools, frameworks, and deployment patterns for LLM and agent operations.
- Implement security controls, access patterns, and operational safeguards for responsible production use of generative AI.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- At least 3 years of experience developing and operating cloud-based services, infrastructure, and APIs in production, ideally on AWS.
- Experience deploying and operating production ML systems, especially LLMs, VLMs, or other large-scale model systems, including release management, evaluation, and monitoring.
- Experience with observability and operational tooling for monitoring, logging, tracing, and alerting.
- Demonstrated experience with CI/CD and production deployment workflows across development, staging, and production environments.
- Preferred experience with agentic development workflows, AI-assisted coding and review, and reusable skills or agents.
- Preferred experience with LangSmith, LangChain, LangGraph, or MLflow.
- Preferred experience with GPU-backed inference, model serving optimization, and scaling latency-sensitive applications.
- Preferred experience deploying or integrating hosted model APIs such as Anthropic, Gemini, or Bedrock.
- Preferred experience building validation and telemetry systems for generative AI.
- Preferred experience with Docker, Kubernetes, ECS, or EKS.
- Preferred experience with Temporal or Step Functions.
- Preferred experience with Databricks or similar data, experimentation, evaluation, or ML platform tools.
- Preferred experience with IAM, secrets management, encryption, compliance-minded cloud controls, infrastructure as code, Terraform, and agent infrastructure.
Benefits
- Hybrid work arrangement requiring three days per week in the office in Montreal.
- Comprehensive medical, dental, and vision coverage, including gender-affirming care, family and fertility planning, and travel reimbursement for inaccessible care.
- Traditional and Roth 401(k) options with a 2% company match.
- Flexible stipends for learning, development, and modern life needs.
Tech Stack
Categories
About Hinge Health
Hinge Health is focused on scaling and automating the delivery of health care, starting with musculoskeletal conditions. Leveraging an AI-powered care model, a wearable device, and access to expert clinicians, Hinge Health delivers personalized, evidence-based care that helps people move beyond pain, improving member outcomes and experiences and reducing costs for clients. The company is headquartered in San Francisco, California. We’re hiring! Join us at hingehealth.com/careers