ai engineer

EPAM provides digital engineering, cloud, and AI-enabled transformation services, as well as digital product development and consulting.

• Lead the architecture and implementation of an enterprise-ready agentic AI hosting platform built on LangGraph;
• Design and develop complex multi-agent workflows, including stateful agent graphs and conditional routing strategies;
• Drive technical decisions on agent lifecycle operations, including runtime environments, observability pipelines and gateway configurations;
• Implement persistence and memory layers for long-running workflows across distributed environments;
• Oversee migration of existing AI/ML workloads to the LangGraph-based platform while maintaining enterprise guardrails;
• Collaborate with security and governance teams to ensure compliance throughout migration and post-launch phases;
• Identify and remediate vulnerabilities uncovered during migration security reviews;
• Plan and coordinate migration waves, dependencies and cutover activities;
• Establish best practices for agentic AI development and ensure their adoption across teams;
• Mentor engineers, providing technical leadership and support.

• 6+ Years of software or ML engineering experience, including 2+ years in a senior or lead role using Python;
• Deep expertise with LangGraph (graph construction, node/edge design, state management) and strong knowledge of multi-agent architectures, supervisor patterns, and inter-agent communication;
• Experience building human-in-the-loop workflows and robust long-running agent execution patterns;
• Familiarity with the LangChain ecosystem, tools, retrievers, memory modules and LLM integrations;
• Proficiency in AWS services (Lambda, ECS/EKS, API Gateway, CloudWatch, IAM);
• Experience with containerization (Docker/Kubernetes) and IaC tools (Terraform, CDK, CloudFormation);
• Knowledge of migration strategies for AI/ML workloads and dependency analysis;
• Exposure to CI/CD pipelines and observability tools in cloud environments;
• Understanding of compliance-driven delivery models and coordination with InfoSec and architecture stakeholders;
• Hands-on experience with Crossplane for Kubernetes-native infrastructure provisioning and control planes;
• Nice to have: Experience with LangGraph Platform or LangSmith for agent observability and deployment, familiarity with AWS Bedrock and foundational model integrations, background in LLM fine-tuning, RAG pipelines or embedding-based retrieval techniques, prior experience in AI migrations within regulated environments, knowledge of cost optimization for hosted AI/ML services, Bash scripting and contributions to open-source AI/ML or LangChain/LangGraph projects.

• No conditions specified