Senior MLOps Engineer – Agentic Versioning

About the Position

We are looking for a Senior MLOps Engineer to design and implement enterprise-grade versioning and lifecycle management for AI agents. The role focuses on treating an agent, including its container image, prompt configuration, tool bindings, and policy associations, as a single immutable versioned unit, with controlled promotion, validation, and rollback across environments.

Responsibilities

• Design and implement an agentic versioning model covering container images, prompt configurations, tool bindings, and policy associations as immutable versioned artifacts.
• Implement version management for AWS AgentCore Runtime, including automatic version creation and endpoint management.
• Build agent promotion workflows across dev, QA, and production, with evaluation and quality gates before production deployment.
• Define and implement rollback mechanisms for restoring previous agent versions and validating their continued functionality.
• Manage agent container images in AWS ECR, including ARM64 tagging, lifecycle policies, image signing, and immutability controls.
• Integrate versioning workflows with an Agent Registry, automatically registering new agent versions and associated metadata.
• Capture and maintain metadata such as evaluation results, promotion status, and version information.
• Design CI/CD pipelines that enforce quality and evaluation gates for AI systems.
• Support version comparison and regression detection across agent releases.

Requirements

• Skills:
  • Agentic versioning model - agent container image + prompt configuration + tool bindings + policy associations as immutable unit
  • AWS AgentCore Runtime versioning - automatic version creation on image push, endpoint management (DEFAULT, named)
  • Agent promotion workflow - dev → qa → prod with evaluation gates enforcing quality before production
  • Agent rollback patterns - restoring previous agent versions with validation that old version still works
  • AWS ECR for agent images - ARM64 tagging, lifecycle policies, image signing for agent immutability
  • Agent Registry integration - auto-registering agent versions with metadata (evaluation results, promotion status)
• Experience:
  • 5+ years MLOps or DevOps engineering with AI/ML systems
  • Versioning and lifecycle management for LLM agents or ML models
  • Immutable artifact versioning at enterprise scale (ECR, model registries)
  • CI/CD pipeline design with quality gates for AI systems

Nice to Have

• AWS AgentCore Runtime versioning hands-on experience
• Agent evaluation frameworks (Langfuse, LangSmith, PromptLayer)
• Multi-environment agent promotion patterns
• Agent version comparison and regression detection

We Offer

• Competitive salary
• Remote work options
• Professional development budget

About the Company

At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.

We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.

We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.