Full-Stack AI Engineer - AI Service Engines & Integration

Your Future Evolves Here

Core 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.

Minimum 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.

Preferred Requirements

• 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.

#EvolentAi

To ensure a secure hiring process we have implemented several identity verification steps, including submission of a government issued photo ID. We conduct identity verification during interviews, and final interviews may require onsite attendance. All candidates must complete a comprehensive background check, in-person I-9 verification, and may be subject to drug screening prior to employment. The use of artificial intelligence tools during interviews is prohibited and monitored. Misrepresentation will result in immediate disqualification from consideration.

Technical Requirements:

We require that all employees have the following technical capability at their home: High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router.

Evolent is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status. If you need reasonable accommodation to access the information provided on this website, please contact [email protected] for further assistance.

The expected base salary/wage range for this position is $115,000 - 135,000. As part of our total compensation package, Evolent is proud to offer comprehensive benefits (including health insurance benefits) to qualifying employees. All compensation determinations are based on the skills and experience required for the position and commensurate with experience of selected individuals, which may vary above and below the stated amounts.