Full-Stack AI Engineer, AI Service Engines – Integration

🕒 September 3

🇺🇸 United States – Remote

💵 $115k - $135k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 20%

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Evolent

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

⚕️ Healthcare Insurance

🏥 Healthcare

☁️ SaaS

Healthcare Insurance • Healthcare • SaaS

Evolent is a healthcare company focused on improving care outcomes through its comprehensive management solutions across multiple medical specialties. They aim to enhance the patient care journey by offering coordinated services in areas like oncology, cardiology, musculoskeletal disorders, and primary care, while ensuring high-quality treatment pathways and cost management. Evolent believes every person deserves quality care, striving to align treatment guidelines and innovative approaches to meet patient needs effectively.

📋 Description

• Design and build the adaptor layer between AI service engines and the enterprise service bus • Construct and handle FHIR PAS payloads • Build a synchronous service engine for real-time AI workloads, such as letter generation • Adapt the architecture of the existing asynchronous Triage engine • Build, deploy, and operate LLM-based agents on service engines • Own the process of moving agents from configuration to production • Support and maintain production Triage services through bug fixes, dependency and model upgrades, releases, and operational health management • Integrate LLM and generative AI services, including Azure OpenAI, into production business workflows • Implement CI/CD, automated testing, monitoring, and observability for AI services • Contribute to dashboards and alerting • Work within architecture standards and review gates • Document solutions so others can operate them • Handle clinical data, including PHI, according to security, privacy, and compliance requirements

🎯 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 skills • Experience with at least one other modern language: TypeScript, C#, Java, or Go • Experience building and consuming RESTful APIs and microservices • Experience with message-driven / service-bus integration patterns • Experience integrating LLM APIs, such as Azure OpenAI, OpenAI, or Anthropic, into applications • Experience working in Agile development environments with code review, testing, and CI/CD • FHIR experience, especially prior-authorization workflows, PAS implementation guide, X12 278 crosswalk, or other healthcare interoperability (preferred) • Experience with agentic AI frameworks and patterns, such as pydantic-ai or LangGraph, and structured-output LLM development (preferred) • Experience with LLM observability and telemetry, including OpenTelemetry-based tracing, Logfire, or similar (preferred) • Azure cloud experience, including Azure AI services, Azure SQL, and containerized deployment (preferred) • Docker/Kubernetes and infrastructure-as-code practices (preferred) • Healthcare, payer, or other regulated-domain engineering experience (preferred) • Government-issued photo ID submission and identity verification during interviews • Comprehensive background check • In-person I-9 verification • May be subject to drug screening prior to employment • High-speed internet over 10 Mbps at home

🏖️ Benefits

• Work/life balance • Flexible work arrangements • Autonomy to get things done • Comprehensive benefits, including health insurance benefits, for qualifying employees • Equal opportunity employer • High-speed internet over 10 Mbps required at home

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