Generative AI Operations Engineer (GenAI Ops)

Generative AI Operations Engineer (GenAI Ops)

EPAM Systems is seeking a highly motivated and experienced Generative AI Operations (GenAI Ops) Engineer to join our innovative team. You will be at the forefront of the AI revolution, responsible for building, deploying, and maintaining the operational infrastructure for cutting-edge generative AI models and services. You will work closely with data scientists, machine learning engineers, and software developers to ensure 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.

Responsibilities

• Build and Manage CI/CD Pipelines: Design, implement, and maintain robust, automated CI/CD pipelines for training, evaluating, and deploying large language models (LLMs) and AI agents.
• Orchestrate Agentic AI Workflows: Design, deploy, and manage sophisticated, multi-agent systems. Ensure seamless Agent-to-Agent (A2A) communication and collaboration between specialized agents to automate complex business processes.
• Manage Tool Integration: Implement and manage secure, scalable integrations between AI agents and external tools/APIs, leveraging open standards like the Model Context Protocol (MCP) to ensure interoperability.
• Leverage AI-Powered Development: Utilize AI-powered development tools to accelerate the entire software development lifecycle, from writing infrastructure code and tests to troubleshooting operational issues in cloud environments.
• Infrastructure as Code (IaC): Utilize cloud-native IaC services or cloud-agnostic tools like Terraform to define and manage the infrastructure required for GenAI workloads.
• Model Monitoring and Observability: Implement comprehensive monitoring and logging solutions to track model and agent performance, resource utilization, and system health. For agentic systems, this includes tracing the agent's actions and logging the multi-step conversational flow.
• Scalability and Performance Optimization: Design and implement scalable architectures for model serving and inference. Continuously optimize the performance and cost-effectiveness of our GenAI services.
• Security and Compliance: Implement and enforce security best practices for our GenAI infrastructure and data. Ensure compliance with industry standards and regulations.

Requirements

• 3+ years in a DevOps, SRE, or MLOps role with a focus on cloud infrastructure and a background in cloud services (AWS, GCP, Azure).
• Skills in building and managing CI/CD pipelines (Jenkins, GitLab CI, or cloud-native services) and proficiency in at least one scripting language (e.g., Python, Bash).
• Familiarity with IaC tools (e.g., AWS CDK, CloudFormation, Terraform) and containerization/orchestration (Docker, Kubernetes).
• Track record of deploying and operating LLM inference (e.g., vLLM, Triton, TGI, Ray Serve, KServe/Seldon).
• Hands-on experience with LLM/app tracing and metrics (e.g., OpenTelemetry + Langfuse, Arize Phoenix, WhyLabs) and in building evaluation pipelines (offline/online, regression suites).
• Skills in operating retrieval pipelines: embedding generation, indexing/refresh strategies, vector DBs (Pinecone, Weaviate, Milvus, FAISS), and relevance monitoring.
• Experience in running multi-agent workflows (LangGraph, CrewAI, AutoGen-like), including state management, retries, rate limits, tool-failure handling, and step-level auditing.
• Experience in implementing guardrails: secrets isolation, tool/API permissions, prompt-injection defenses, data leakage prevention, PII redaction, and policy enforcement.
• Background integrating agents with external tools using MCP (or similar tool-calling standards) and operating tool registries is a plus.

Nice to have

• 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

• We gather like-minded people: Engineering community of industry professionals, Friendly team and enjoyable working environment, Flexible schedule and opportunity to work remotely within Poland, Chance to work abroad for up to 60 days annually, Business-driven relocation opportunities.
• We provide growth opportunities: Outstanding career roadmap, Leadership development, career advising, soft skills, and well-being programs, Certification (GCP, Azure, AWS), Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru, English classes.
• We cover it all: Stable income (Employment Contract or B2B), Participation in the Employee Stock Purchase Plan, Benefits package (health insurance, multisport, shopping vouchers), Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more, Referral bonuses, Corporate, social and well-being events.

Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

Key skills/competency

• Generative AI Operations
• DevOps
• SRE
• MLOps
• Cloud Infrastructure
• CI/CD Pipelines
• Infrastructure as Code (IaC)
• LLM Inference
• Multi-agent Systems
• Monitoring and Observability