ML/LLM Operations Engineer

Your Future Evolves Here

We are seeking a skilled ML/LLM Operations Engineer to join our Data Science team at Evolent Health to ensure our AI systems deliver consistent, reliable, and compliant results in healthcare settings. This role is perfect for someone who thrives at the intersection of machine learning, operations, and healthcare compliance.

The role combines deep understanding of LLM behavior and evaluation with a meticulous approach to monitoring, quality assurance, and regulatory compliance in healthcare applications.

Collaboration Opportunities: This position will play a critical role partnering with our Data Science and Engineering teams while also interacting with cross-functional organizations including DevOps, Compliance, Quality Assurance, Clinical Support, and Product Management to ensure our AI systems operate reliably and meet all healthcare industry requirements.

What You Will Be Doing:

• Develop and maintain standardized evaluation frameworks to consistently measure LLM performance across relevant healthcare metrics
• Build monitoring systems using Logfire to track AI model performance, detect drift, and alert the team to anomalies
• Create testing infrastructure for prompt versions, model selection, and quality assurance processes
• Design and implement audit sampling processes for continuous quality monitoring and clinical review workflows
• Oversee regulatory compliance processes, including documentation for bias assessments, model cards, and audit trails required in healthcare
• Optimize LLM operations through intelligent model selection, prompt engineering, and cost management strategies
• Support the transition from successful POCs to production-ready services with appropriate testing and validation
• Partner with DevOps on infrastructure requirements while focusing on AI-specific monitoring and optimization
• Create and maintain documentation, runbooks, and operational procedures for all deployed AI systems
• Collaborate with Clinical Support Liaison to incorporate clinical feedback into system improvements
• Prepare regular reports on AI system quality, performance metrics, and compliance status

Required Qualifications:

• Bachelor's or master's degree in computer science, data science, or related field
• 2+ years of experience with Python development and at least one production LLM implementation
• Strong proficiency in SQL for complex log analysis and metrics generation
• Demonstrated experience with LLM APIs and frameworks (experience with PydanticAI, LangChain, or similar)
• Experience with monitoring tools and practices for AI systems, including performance metrics, drift detection, and alerting
• Understanding of LLM behavior, prompt engineering, and common failure modes in production
• Experience building evaluation or testing frameworks for AI/ML systems
• Strong communication skills for cross-functional collaboration
• Experience with healthcare AI applications and compliance requirements is preferred
• Familiarity with multiple LLM providers (OpenAI, Anthropic, Google, Azure) is preferred
• Knowledge of Pydantic ecosystem including PydanticAI and Logfire is preferred
• Understanding of LLM evaluation metrics and methodologies is preferred
• Experience building tools for non-technical users is preferred
• Basic knowledge of containerization (Docker) for local testing and development is preferred
• Experience with cloud environments (AWS, Azure) as a user is preferred
• Understanding of API rate limiting, quota management, and cost optimization strategies is preferred
• Knowledge of CI/CD concepts for ML model deployments is preferred
• Experience with regulatory compliance and audit processes is preferred
• Excellent documentation skills and attention to detail is preferred

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. These at-home technical requirements are subject to change with any scheduled re-opening of our office locations.

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 recruiting@evolent.com for further assistance.