AI Integration Engineer
Listed on 2026-07-26
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Software Development
Backend Developer, AI Engineer (Applied/Software)
Assure Care's platform is only as valuable as its connections to the systems our customers already run. As an Integration Engineer, you own those connections — the APIs, event-driven integration hubs, and message queues that move clinical, claims, and member data reliably between customer systems and our platform. In healthcare, the integration is where the value is realized, and where most projects stall;
getting it right is the core of this role.
This is a senior, hands-on role for an integration engineer who is equally comfortable with traditional enterprise integration and modern AI tooling. Day-to-day you build and support customer and partner API integrations; alongside that, you apply your AI skills to make those workflows smarter. You will ship production features, help set standards for how we build safely, and turn both integrations and AI capabilities into reliable outcomes that improve care and shorten delivery timelines.
What You ll Do
- Own the integration layer. Build and maintain the REST/Web APIs, webhooks, event streams, and integration hubs that connect customer, partner, clinical, claims, and member systems to the Assure Care platform — using Azure Integration Services and message-based architectures.
- Deliver customer integrations. Build and support the day-to-day customer and partner API integrations — data exchange, third-party services, and interoperability — from scoping and onboarding through go-live and ongoing support.
- Engineer for resilience. Treat every integration and AI call as an unreliable dependency — timeouts, retries with backoff, circuit breakers, idempotency, dead-letter handling, and graceful fallback so member-facing workflows never fail loudly.
- Build compliance in, not on. Deliver integrations that meet HIPAA and PHI requirements from day one: identity propagation, least-privilege access, PHI minimization and redaction, full audit trails, and clear data-flow documentation — and hold AI-touched data to the same bar.
- Apply AI to the workflow. Use your AI skills to design, build, and operate AI-powered features that run reliably inside the integrations you own, across Assure Care's platform and our customers' systems.
- Integrate foundation models. Connect LLM provider APIs and SDKs (Azure OpenAI, Anthropic Claude, OpenAI, and comparable) using structured outputs, retrieval-augmented generation (RAG) over clinical and policy knowledge, and tool/function calling.
- Design human-in-the-loop workflows. Build automation for clinical documentation, prior authorization, and intelligent document processing that keeps a clinician or reviewer in control of every consequential decision.
- Build the evaluation model. Design and build the evaluation model for our AI systems — test sets, scoring criteria, and automated regression checks — and pair it with prompt/version management and observability across quality, latency, and cost, so AI behavior is measured and regressions are caught before they reach members.
- Govern the model layer. Route across multiple AI providers through a gateway, manage spend and rate limits, and judge when to use a platform's native AI capability versus building a custom integration.
- Roll out safely. Use feature flags and staged, per-customer rollouts to release integrations and AI capabilities incrementally and catch regressions before they affect everyone.
- Raise the engineering bar. Provide peer code review, mentorship, and technical decision-making; help establish best practices and standards for integration and AI-assisted engineering across a global, Agile team.
- Drive AI-assisted delivery. Champion AI coding and troubleshooting tools (e.g., Git Hub Copilot, Claude) to accelerate development, improve code quality, and reduce delivery timelines.
- Translate across the room. Communicate technical options and trade-offs to clinical, product, security, and customer stakeholders, and turn business requirements into shippable technical solutions.
Languages & Frameworks
- C#, .NET (Framework 4.5+ / .NET Core), Python or Type Script, ASP.NET, REST Web API
- Integration & Messaging
- Azure Integration Services (API Management, Logic Apps, Service Bus, Event Grid), webhooks,…
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