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Senior AI Agent Engineer
EPAM Systems
Remote · ArmeniaSalary not disclosedfull-timeNewVerified recentlyEPAM Systems Careers
Design and deliver AI agent systems that remain reliable beyond a successful demonstration. In this role, you will own technical decisions and delivery for a defined system or substantial component, from requirements and design through production operation.
Responsibilities
- Design, build, deploy, and operate agent systems across execution, memory, identity, tool integration, and observability within your area of responsibility
- Work directly with customers and stakeholders to turn needs into functional requirements and measurable acceptance criteria. Personally build working prototypes and production-grade slices of the solution, from design through implementation, testing, and deployment
- Develop agent workflows and production deployments using cloud managed services for AI hosting (e.g., Bedrock, Azure AI Foundry, Vertex AI), selecting services and development tools against the system's requirements
- Implement and operate an LLM gateway & routing layer covering model tiering, quota/cost control, and observability (e.g., LiteLLM, APIM AI Gateway)
- Design memory and context-management approaches for multi-step workflows, including state persistence, retrieval quality, retention, and isolation between users or engagements
- Build and maintain MCP servers and tool integrations for authorized security workflows, including reconnaissance, scanners, controlled exploit tooling, and internal services. Define contracts, permissions, approval boundaries, and recovery behavior
- Establish automated tests and agent evaluations for your components. Distinguish model-quality issues from software defects, and cover tool failures, interrupted execution, and unintended repeated actions
- Diagnose production issues using logs, metrics, and traces. Improve reliability, latency, and cost, and verify that mitigation and recovery work as intended
- Contribute to CI/CD, release checks, rollback plans, code review, and technical documentation. Mentor less experienced engineers and communicate decisions clearly to technical and non-technical stakeholders
- Design and deliver AI agent systems that remain reliable beyond a successful demonstration. In this role, you will own technical decisions and delivery for a defined system or substantial component, from requirements and design through production operation. You will combine strong software engineering with practical…
Languages
- Work format
- Remote
- Seniority
- Senior
- Posted
- 1 Oct 2026 (today)
- Last verified
- 1 Oct 2026
