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.