Senior AI Agent Developer with AWS, Databricks

EPAM Systems; Georgia; Remote; USD 35,000 - 58,000; Full time

Benefits offered by this job

Opportunity to work abroad up to two—:

Relocation to 55+ countries

Corporate and social events

Certifications (GCP, Azure, AWS)

Free English classes

Employee Stock Purchase Plan

Referral bonuses

Medical & family care package

Five trust days per year

Access to internal learning database

Job summary

EPAM Systems is seeking a hands-on Senior AI Agent Developer to design, deploy, and maintain production ML/AI solutions. You will own end-to-end ML/AI workflows, from model development through deployment and retraining, in a remote setup across Georgia.

You will collaborate with data engineers, product, and business teams to deliver scalable, reliable models and robust MLOps pipelines, ensuring code quality and responsible AI practices while communicating progress to stakeholders.

Qualifications

• 3+ years of experience building and deploying ML/AI solutions in production.
• 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.

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.

Skills

ML pipelines (end-to-end)

MLOps

AWS

Databricks

CI/CD

Model monitoring

Feature engineering

Cross-functional collaboration

Stakeholder communication

Tools

AWS

Databricks

CI/CD tools

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 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.