Senior MLOps Engineer - Agentic Versioning

We are seeking a Senior MLOps Engineer to take ownership of the agentic versioning model, promotion workflow, and rollback patterns across the agent estate, contributing to an Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem empowering engineering teams to define, orchestrate, deploy, and observe AI agents at scale. The platform unifies agent development across the organization through LangGraph and Strands Agents on AWS AgentCore Runtime, covering agent framework design, runtime architecture, marketplace integration, CI/CD automation, and enterprise-grade observability, cutting agent development from months to days while enforcing consistent security, quality, and governance standards.
Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi.
Responsibilities
Define and maintain the agentic versioning model, treating agent container image, prompt configuration, tool bindings, and policy associations as a single immutable unit
Manage AWS AgentCore Runtime versioning, including automatic version creation upon image push and endpoint management for DEFAULT and named endpoints
Architect and enforce the agent promotion workflow from dev to qa to prod, embedding evaluation gates that ensure quality prior to production release
Build agent rollback patterns that restore prior agent versions while confirming that the previous version remains functional
Configure AWS ECR for agent images, addressing ARM64 tagging, lifecycle policies, and image signing to safeguard agent immutability
Integrate with the Agent Registry to automatically register agent versions along with metadata such as evaluation outcomes and promotion status
Partner with engineering teams to standardize versioning and lifecycle practices across the agent estate
Requirements
5+ years of experience in MLOps or DevOps engineering with AI/ML systems
Hands-on expertise in deployment, promotion, or rollback workflows specifically built for AI agents, such as agent evaluation gates, agent version comparison, or agent endpoint management
Background in versioning and lifecycle management for LLM agents or ML models
Proficiency in immutable artifact versioning at enterprise scale leveraging ECR and model registries
Skills in CI/CD pipeline design with quality gates applied to AI systems
English proficiency at B2 level or higher
Nice to have
Hands-on competency in AWS AgentCore Runtime versioning
Familiarity with agent evaluation frameworks, including Langfuse, LangSmith, PromptLayer
Expertise in multi-environment agent promotion patterns
Capability to perform agent version comparison and regression detection
We offer
We connect like-minded people
Delivering innovative solutions to industry leaders, making a global impact
Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
Opportunity to work abroad for up to two months per year
Relocation opportunities within our offices in 55+ countries
Corporate and social events
We invest in your growth
Leadership development, career advising, soft skills and well-being programs
Certifications, including GCP, Azure and AWS
Unlimited access to EPAM's internal learning database
Free English classes with certified teachers
We cover it all
Participation in the Employee Stock Purchase Plan
Monetary bonuses for engaging in the referral program
Comprehensive medical & family care package
Five trust days per year (sick leave without a medical certificate)
Benefits package (sports activities, a variety of stores and services)
EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

Work arrangement
Yes