AI Engineer II
About The Position
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.
Requirements
- You are a backend-minded software engineer who enjoys building reliable systems and learning how they behave in production.
- 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.
- You demonstrate effective communication through clear design notes, concise status updates, thoughtful code reviews, and early escalation of risks.
- You are a learn-it-all who welcomes feedback, builds depth in your primary technologies, and develops the judgment to make sound tradeoffs.
- You practice accountability by owning the quality, reliability, and follow-through of the systems you build.
- 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.
- 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.
Nice To Haves
- 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.
Responsibilities
- Learn the Proactive Communications & Notifications domain, service architecture, operational practices, and member-impact goals.
- Ship well-scoped improvements to APIs, services, asynchronous jobs, or workflows with guidance from senior engineers.
- Build familiarity with the team’s testing, observability, deployment, and incident-response practices; participate in on-call or incident support as appropriate.
- Own a medium-sized feature from planning through implementation, testing, rollout, and follow-up with minimal support.
- Integrate an ML- or AI-backed capability into a product workflow through clear interfaces, reliable data flows, and appropriate failure handling.
- Improve the correctness and operability of distributed systems by applying patterns such as retries, idempotency, versioning, graceful degradation, dashboards, and structured logging.
- Deliver multiple production initiatives that improve the relevance, timeliness, reliability, or maintainability of member communications.
- Trace and resolve issues across APIs, services, queues, databases, model-backed components, and data dependencies, raising risks and decisions early.
- Help strengthen the team through thoughtful code reviews, design documentation, pairing, onboarding support, and contributions to engineering practices.
Benefits
- 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.
- Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options, which include a 2% company match.
- Modern life stipends: Manage your own learning and development.
- Grow with us: Grow with us through discounted company stock through our ESPP with easy payroll deductions.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
