Full-Stack AI Engineer (AI Service Engines & Integration)

Evolent partners with health plans and providers to improve outcomes for people with complex and costly health conditions. The Full-Stack AI Engineer will design, build, deploy, and operate AI service engines and integrations, including LLM-based agents, FHIR prior-authorization workflows, and production-grade monitoring and CI/CD. The role also supports existing Triage services and ensures clinical data is handled according to security, privacy, and compliance requirements.

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

Preferred

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

FHIR experience

Prior-authorization workflows

Healthcare interoperability

HL7v2

CDA

Agentic AI frameworks

Structured-output LLM development

LLM observability

Telemetry

Azure cloud experience

Azure AI services

Azure SQL

Containerized deployment

Docker

Kubernetes

Infrastructure-as-code practices

Healthcare engineering

Payer engineering

Regulated-domain engineering

Benefits

Comprehensive benefits, including health insurance benefits, for qualifying employees.

Work/life balance and flexibility to suit work to their lives.

Company

Specialty care management for health plans and providers

Arlington, Virginia, USA

https://www.evolent.com/

Founded in 2011

1001-5000 employees

Qualifications

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

High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router

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

3–5+ years of software engineering experience.

Required skills

Python, RESTful APIs and Microservices, Message-Driven Service-Bus Integration, LLM API Integration, CI/CD, FHIR Prior Authorization Support (PAS), Agentic AI Frameworks, LLM Observability and Telemetry, Azure Cloud, Docker and Kubernetes, Infrastructure as Code, Healthcare Interoperability

Preferred skills

Docker/Kubernetes and infrastructure-as-code practices

Experience

3+ years