Full-Stack AI Engineer (AI Service Engines & Integration)
About The Position
Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of fragmented health care system and ensure people get the same level of care and compassion we would want for our loved ones. Evolent employees enjoy work/life balance, the flexibility to suit their work to their lives, and autonomy they need to get things done. We believe that people do their best work when they're supported to live their best lives, and when they feel welcome to bring their whole selves to work. That's one reason why diversity and inclusion are core to our business. Join Evolent for the mission. Stay for the culture.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or a related field — or equivalent experience.
- 3–5+ years of software engineering experience.
- Strong Python; experience with at least one other modern language (TypeScript, C#, Java, or Go).
- Experience building and consuming RESTful APIs and microservices, including message-driven / service-bus integration patterns.
- Experience integrating LLM APIs (e.g., Azure OpenAI, OpenAI, Anthropic) into applications.
- Experience working in Agile development environments with code review, testing, and CI/CD.
Nice To Haves
- FHIR experience — especially prior-authorization workflows (PAS implementation guide, X12 278 crosswalk) or other healthcare interoperability (HL7v2, CDA).
- Experience with agentic AI frameworks and patterns (e.g., pydantic-ai, LangGraph, or similar) and structured-output LLM development.
- Experience with LLM observability and telemetry (OpenTelemetry-based tracing; Logfire or similar).
- Azure cloud experience (Azure AI services, Azure SQL, containerized deployment).
- Docker/Kubernetes and infrastructure-as-code practices.
- Healthcare, payer, or other regulated-domain engineering experience.
Responsibilities
- Design and build the adaptor layer between AI service engines and the enterprise service bus, including construction and handling of FHIR PAS (Prior Authorization Support) payloads.
- Build a new synchronous service engine for real-time AI workloads (e.g., letter generation), adapting the architecture of the existing asynchronous Triage engine.
- Build, deploy, and operate LLM-based agents on the service engines; own the mechanics of getting an agent from configuration to production.
- Support and maintain the existing production Triage services: bug fixes, dependency and model upgrades, releases, and operational health.
- Integrate LLM and generative AI services (Azure OpenAI and related) into production business workflows.
- Implement CI/CD, automated testing, monitoring, and observability for AI services; contribute to dashboards and alerting.
- Work within the team's architecture standards and review gates; document what you build so others can run it.
- Handle clinical data (including PHI) according to organizational security, privacy, and compliance requirements.
Benefits
- health insurance benefits
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
