We are seeking a highly motivated and experienced Generative AI Operations (GenAI Ops) Engineer to join our innovative team.

In this role, you will be at the forefront of the AI revolution, responsible for building, deploying, and maintaining the operational infrastructure for our cutting-edge generative AI models and services. You will work closely with data scientists, machine learning engineers, and software developers to ensure our GenAI applications—especially complex, multi-agent systems—are scalable, reliable, and efficient across major cloud platforms. If you are passionate about operationalizing large-scale AI systems and want to make a significant impact, this is the role for you.

Feel free to work remotely from anywhere across Lithuania or connect with colleagues at our Vilnius and Kaunas offices.

Responsibilities

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
• 3+ years of experience in a DevOps, SRE, or MLOps role with a focus on cloud infrastructure
• Proven experience with cloud services from major providers like AWS, Google Cloud, or Azure
• Strong experience building and managing CI/CD pipelines using tools like Jenkins, GitLab CI, or cloud-native services
• Proficiency in at least one scripting language (e.g., Python, Bash)
• Hands-on experience with Infrastructure as Code (IaC) tools such as AWS CDK, CloudFormation, or Terraform
• Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
• Fluent English communication skills at a B2+ level

Requirements

• Master's degree or PhD in Computer Science, AI, Machine Learning, or a related field
• Experience with cloud-native GenAI services like AWS Bedrock, Azure AI Foundry, or Google Vertex AI
• Familiarity with the architecture and operational challenges of Large Language Models (LLMs)
• Experience designing or managing multi-agent systems or complex, orchestrated workflows
• Knowledge of monitoring and observability tools like Prometheus, Grafana, or Datadog
• Relevant cloud or DevOps certifications
• Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment

We offer

• Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years.
• Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
• World-Class Clients: Work closely with 295+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
• Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
• GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
• Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
• Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
• Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more

Salary range €4.8K-€6.6K gross, based on your experience and interview results.

Join our team in our cozy offices in Vilnius or Kaunas.

About EPAM

EPAM is a leading global provider of digital platform engineering and development services. For over 30 years, our team has helped leading brands navigate the waves of digital transformation, building solutions that help them stay competitive through constant market disruption.

With offices in 55+ countries, EPAM has grown in Lithuania to over 1,200+ talented innovators in just 4 years. We foster creativity and unconventional ways of doing things, welcoming like-minded professionals to join us