AI Engineer II

Hinge Health

. Build and operate backend systems supporting AI-powered product capabilities .

Posted 9/30/2026full-timeSan Francisco • California • United StatesJuniorMid-Level💰 $135,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating backend systems, integrating ML and AI capabilities, and ensuring reliable production operations. Proficient in API design, asynchronous processing, and distributed systems with a focus on observability and deployment practices.

Highest-signal resume keywords

Backend Service DevelopmentAPI Design and IntegrationMachine Learning IntegrationCloud Platform ExperienceDistributed Systems Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonTypeScriptJavaScriptGoJavaKotlinAsynchronous ProcessingEvent-Driven SystemsSoftware TestingWorkflow Orchestration

Tools & Technologies

AWSDockerKafkaPostgreSQLKubernetesAirflowTemporalStep Functions

Industry Keywords

HealthcareDigital HealthFintechData-Sensitive DomainProactive Communications

Tech Stack

Tools & technologies

AirflowAWSCloudDistributed SystemsDockerJavaJavaScriptKafkaKotlinKubernetesPostgresPythonTypeScriptGo

About the role

Key responsibilities & impact

Build and operate backend systems supporting AI-powered product capabilities
Design APIs, services, workflows, and data flows for reliable production operation
Integrate, deploy, and operate ML models and AI services within product systems
Learn the Proactive Communications & Notifications domain, service architecture, operational practices, and member-impact goals
Ship improvements to APIs, services, asynchronous jobs, and workflows
Participate in testing, observability, deployment, on-call, and incident-response practices
Own medium-sized features from planning through implementation, testing, rollout, and follow-up
Integrate ML- or AI-backed capabilities into product workflows with reliable data flows and failure handling
Improve distributed-system correctness and operability using retries, idempotency, versioning, graceful degradation, dashboards, and structured logging
Deliver production initiatives improving the relevance, timeliness, reliability, or maintainability of member communications
Trace and resolve issues across APIs, services, queues, databases, model-backed components, and data dependencies
Contribute through code reviews, design documentation, pairing, onboarding support, and engineering practices
Collaborate with senior engineers, ML Scientists, Data Engineering, Product, and software engineers

Requirements

What you’ll need

2+ years of non-internship, full-time professional software engineering experience
Experience building and operating backend services or distributed systems in production
Experience with APIs, asynchronous processing, event-driven systems, workflows, or data-intensive services
Professional experience with at least one production programming language such as Python, TypeScript/JavaScript, Go, Java, Kotlin, or a comparable language
Experience with software testing, observability, deployment, or production support
Experience integrating ML- or AI-backed services into production products preferred
Experience with AWS or another cloud platform preferred
Experience with Docker, Kafka, PostgreSQL, or equivalent systems preferred
Experience with asynchronous processing, workflow orchestration, event-driven systems, or long-running state preferred
Familiarity with CI/CD, service monitoring, model deployment, inference, or model versioning preferred
Experience with Temporal, Step Functions, Kubernetes, Airflow, or comparable systems preferred
Experience with generative AI, LLMs, retrieval, agents, or evaluation systems preferred
Experience working in healthcare, digital health, fintech, or another regulated or data-sensitive domain preferred
Willingness to work from the San Francisco office three days per week for a full 8-hour business day
Located in or willing to relocate to the San Francisco Bay Area
Legally authorized to work in the United States
Must disclose current or future immigration-related support or sponsorship needs

Benefits

Comp & perks

Equity
Comprehensive medical, dental, and vision coverage
Gender-affirming care support
Family and fertility planning tools
Travel reimbursements if healthcare is unavailable where you live
Traditional or Roth 401(k) retirement plan options
2% company 401(k) match
Learning and development stipend
Discounted company stock through ESPP
Flexible work arrangements on remote days
Dog-friendly workplace program