GenAI Operations Engineer: Scalable AI Infra & CI/CD

EPAM Systems; Turkey; Sur place; TRY 300 000 - 460 000; Plein temps

Avantages offerts par ce poste

Private health insurance

English courses

Professional development support

Mentoring programs

Learning platform access

Résumé du poste

EPAM Systems seeks a Generative AI Operations (GenAI Ops) Engineer to join its forward-thinking team in Turkey. You will build, deploy, and maintain the operational backbone for LLMs and AI agents, ensuring scalable, reliable GenAI services across leading clouds.

Collaborate with data scientists, ML engineers, and software developers to operationalize AI systems. You will implement automated CI/CD pipelines, manage multi-agent workflows, and optimize performance, governance, and security across

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• At least 3 years in a DevOps, SRE, or MLOps role with cloud infra focus.
• Hands-on cloud experience (AWS/GCP/Azure).
• Strong CI/CD experience (Jenkins, GitLab CI, or cloud-native).
• Python or Bash scripting proficiency.
• Experience with IaC tools (AWS CDK, CloudFormation, Terraform).
• Familiarity with GenAI services (AWS Bedrock, Azure AI Foundry, Vertex AI).
• Understanding of LLM architecture and operational challenges.
• Experience with Hugging Face, OpenAI, LangChain.
• Monitoring/observability tools (Prometheus, Grafana).
• ML experiment tracking (MLflow, Weights & Biases).
• Docker and Kubernetes expertise.
• Fluent English (B2+).

Responsabilités

• Design, implement, and maintain automated CI/CD pipelines for training, evaluating, and deploying LLMs and AI agents.
• Deploy and manage multi-agent AI systems with seamless agent communication.
• Integrate AI agents with external tools via interoperability standards.
• Leverage AI development tools to accelerate infrastructure code, testing, and troubleshooting in cloud environments.
• Define GenAI infra using IaC tools (Terraform, CDK, CloudFormation).
• Implement monitoring, logging, and tracing for model and agent performance and system health.
• Design scalable architectures for model serving and inference with performance and cost efficiency in mind.
• Apply security best practices and ensure compliance for GenAI infra and data.

Connaissances

DevOps

GenAI/MLOps

Python

English

LLMs

Multi-agent systems

Formation

Bachelor's degree in CS/Engineering

Outils

Jenkins

GitLab CI

Terraform

AWS CDK

CloudFormation

Docker

Kubernetes

Prometheus

Grafana

MLflow

Weights & Biases

Hugging Face

OpenAI

LangChain

MCP

Vertex AI

Bedrock

Description du poste

EPAM Systems seeks a Generative AI Operations (GenAI Ops) Engineer to join its forward-thinking team in Turkey. You will build, deploy, and maintain the operational backbone for LLMs and AI agents, ensuring scalable, reliable GenAI services across leading clouds.

Collaborate with data scientists, ML engineers, and software developers to operationalize AI systems. You will implement automated CI/CD pipelines, manage multi-agent workflows, and optimize performance, governance, and security across