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At a glanceSummarised by Seekless from the posting.
Must have4
2+ years of non-internship, full-time professional software engineering experience
Experience building and operating backend services or distributed systems in production, including 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
Nice to have7
Experience integrating ML- or AI-backed services into production products
Experience with AWS or another cloud platform and technologies such as Docker, Kafka, PostgreSQL, or equivalent systems
Experience with asynchronous processing, workflow orchestration, event-driven systems, or long-running state
Familiarity with CI/CD, service monitoring, model deployment, inference, or model versioning
Experience with Temporal, Step Functions, Kubernetes, Airflow, or comparable systems
Experience with generative AI, LLMs, retrieval, agents, or evaluation systems
Experience working in healthcare, digital health, fintech, or another regulated or data-sensitive domain
Skills
Python
TypeScript
JavaScript
Go
Java
Kotlin
AWS
Docker
Kafka
PostgreSQL
Temporal
Step Functions
Kubernetes
Airflow
CI/CD
Benefits
Medical insurance
Dental insurance
Vision insurance
401(k)
Stock purchase plan
Learning stipend
Gender affirming care
Family planning
Travel reimbursement
The Opportunity
Join the Proactive Communications & Notifications team as we build the systems that help Hinge Health determine what message a member receives, when they receive it, and which channel is most helpful. Our work brings together distributed backend services, data flows, and machine learning and AI capabilities to make member communication more relevant, timely, and actionable.
As an AI Engineer, you’ll build and operate the backend systems that bring AI-powered product capabilities to members. You’ll partner with senior engineers, ML Scientists, Data Engineering, Product, and other software engineers to design APIs, services, workflows, and data flows that are reliable in production.
This role is a strong fit for a backend-leaning software engineer who wants to apply distributed-systems skills to AI products. You’ll help integrate, deploy, and operate models and AI services within product systems; model training and research are not the primary focus. MLOps experience is valuable, but the core expectation is strong software engineering, production execution, and operational ownership.
What You’ll Accomplish
In your first 3 months
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Learn the Proactive Communications & Notifications domain, service architecture, operational practices, and member-impact goals.
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Ship well-scoped improvements to APIs, services, asynchronous jobs, or workflows with guidance from senior engineers.
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Build familiarity with the team’s testing, observability, deployment, and incident-response practices; participate in on-call or incident support as appropriate.
In your first 6 months
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Own a medium-sized feature from planning through implementation, testing, rollout, and follow-up with minimal support.
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Integrate an ML- or AI-backed capability into a product workflow through clear interfaces, reliable data flows, and appropriate failure handling.
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Improve the correctness and operability of distributed systems by applying patterns such as retries, idempotency, versioning, graceful degradation, dashboards, and structured logging.
In your first year
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Deliver multiple production initiatives that improve the relevance, timeliness, reliability, or maintainability of member communications.
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Trace and resolve issues across APIs, services, queues, databases, model-backed components, and data dependencies, raising risks and decisions early.
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Help strengthen the team through thoughtful code reviews, design documentation, pairing, onboarding support, and contributions to engineering practices.
Who You Are
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You are a backend-minded software engineer who enjoys building reliable systems and learning how they behave in production.
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You can take a well-scoped problem from design through launch, break work into incremental changes, and ask for direction when complexity or ambiguity increases.
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You demonstrate effective communication through clear design notes, concise status updates, thoughtful code reviews, and early escalation of risks.
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You are a learn-it-all who welcomes feedback, builds depth in your primary technologies, and develops the judgment to make sound tradeoffs.
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You practice accountability by owning the quality, reliability, and follow-through of the systems you build.
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You lead at all levels: you are hands-on in the details, contribute to a positive team culture, and help teammates succeed through collaboration and knowledge sharing.
Basic Qualifications
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2+ years of non-internship, full-time professional software engineering experience.
•
Experience building and operating backend services or distributed systems in production, including 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, plus experience with software testing, observability, deployment, or production support.
Preferred Qualifications
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Experience integrating ML- or AI-backed services into production products.
•
Experience with AWS or another cloud platform and technologies such as Docker, Kafka, PostgreSQL, or equivalent systems.
•
Experience with asynchronous processing, workflow orchestration, event-driven systems, or long-running state.
•
Familiarity with CI/CD, service monitoring, model deployment, inference, or model versioning.
•
Experience with Temporal, Step Functions, Kubernetes, Airflow, or comparable systems.
•
Experience with generative AI, LLMs, retrieval, agents, or evaluation systems.
•
Experience working in healthcare, digital health, fintech, or another regulated or data-sensitive domain.
Hinge Health Hybrid Model
This is a hybrid role based in the San Francisco office, requiring in-person attendance three days per week for a full 8-hour business day. On remote days, employees are expected to work during core business hours with flexibility. The office is part of a dog-friendly workplace program.
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 60+ health plans, PBMs and other ecosystem partners, Hinge Health is available to over 20 million people across more than 2,800 employers.
The company is headquartered in San Francisco with additional offices in Montreal and Bangalore.
Learn more athingehealth.com.
What You’ll Love About Us
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Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live.
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Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options, which include a 2% company match.
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Modern life stipends: Manage your own learning and development.
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Grow with us: 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 regard 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.
We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We provide reasonable accommodations for candidates with disabilities. If you feel you need assistance or an accommodation due to a disability, let us know by reaching out to your recruiter.
By submitting your application, you acknowledge that we use 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” email addresses. 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 [email protected].
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 [email protected].