Senior AI Agent Developer with AWS, Databricks

EPAM Systems; Georgia; On-site; USD 45,729 - 68,594; Full time

Benefits offered by this job

Relocation opportunities

Certifications: GCP, Azure, AWS

Internal learning database access

Job summary

EPAM Georgia is seeking a Senior AI Agent Developer to lead end-to-end ML/AI development, deployment, and monitoring. You’ll work across data engineers, product teams and stakeholders to deliver scalable solutions. This role emphasizes production experience, MLOps, and strong communication.

Remote work from Georgia is supported, with relocation options and opportunities to grow through certifications and internal learning resources.

Qualifications

• 3+ years of experience deploying ML/AI in production
• Expertise with AWS and Databricks
• Proficient in MLOps including CI/CD and monitoring
• Feature engineering on large-scale data
• Collaboration with cross-functional teams
• Clear stakeholder communication (English B2+)
• Best practices for code quality and responsible AI

Responsibilities

• Design, build, and optimize ML/AI models and pipelines
• Deploy models to production with scalability and reliability
• Maintain MLOps workflows, including monitoring and retraining
• Collaborate with data engineers, product and business teams
• Communicate progress and insights to stakeholders
• Follow best practices for code quality and responsible AI

Skills

AWS

Databricks

MLOps

Feature engineering

Cross-functional

English (B2+)

Stakeholder comms

Tools

CI/CD tooling

Job description

We are looking for a hands-on Senior AI Agent Developer to build, deploy, and maintain ML/AI solutions in production, bringing strong end-to-end experience from model development through deployment, monitoring, and scaling.

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

• Design, build, and optimize ML/AI models and pipelines
• Deploy models to production, ensuring scalability, reliability, and performance
• Build and maintain MLOps workflows, including CI/CD, model monitoring, and retraining
• Work with large-scale data to engineer features and prepare training datasets
• Collaborate with data engineers, product, and business teams to deliver solutions
• Communicate effectively with stakeholders, sharing progress, insights, and outcomes clearly
• Contribute to a collaborative and supportive team culture as a strong team player
• Troubleshoot and continuously improve models running in production
• Follow best practices for code quality, documentation, and responsible AI

Requirements

• 3+ years of experience building and deploying ML/AI solutions in production environments
• Expertise in AWS and Databricks for building and scaling ML/AI pipelines
• Proficiency in MLOps practices, including CI/CD, model monitoring, and retraining workflows
• Skills in feature engineering and preparing training datasets from large-scale data
• Background in collaborating with cross-functional teams, including data engineers, product, and business stakeholders
• Competency in clear stakeholder communication, sharing progress, insights, and outcomes
• Understanding of best practices for code quality, documentation, and responsible AI
• English proficiency at B2 level or higher

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 Georgia is a team of innovators united by a passion for technology. The dynamic and inclusive culture we embrace helps positively impact our communities, clients, and employees. Here you will collaborate with multi-national teams, contribute to numerous cutting-edge projects, deliver the most creative solutions, and have an opportunity to learn. Our people are at the heart of our success, and we are proud to provide talents with a solid ground to develop and grow.