Senior AI Agent Engineer: Production Systems & Orchestration

EPAM Systems Inc; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

EPAM Systems Inc. in the United States seeks an experienced engineer to design and deliver AI agent systems that remain reliable beyond demonstrations.

You will own technical decisions and delivery for a defined system or substantial component, from requirements and design through production operation. The role blends strong software engineering with practical agent development, requires independent learning of new languages and runtimes, and involves mentoring others while communicating

Qualifications

• Substantial production software engineering experience, five+ years.
• At least one year delivering LLM-based agents to production.
• Ability to explain contributions and trade-offs with operational results.
• Hands-on agent development using SDKs, frameworks, or direct model APIs.
• Ability to learn unfamiliar languages and runtimes and validate with tests.

Responsibilities

• Design, build, deploy, and operate agent systems across execution, memory, identity, tool integration, and observability.
• Collaborate with customers to turn needs into functional requirements and acceptance criteria.
• Build prototypes and production-grade slices from design through deployment.
• Develop agent workflows using cloud managed services for AI hosting (Bedrock, Azure AI Foundry, Vertex AI).
• Implement an LLM gateway and routing layer with model tiering and observability.
• Design memory and context-management for multi-step workflows and isolation between users.

Skills

Production software engineering

LLM-based agents

Cloud AI hosting

Mentoring engineers

Strong programming

Testing and diagnostics

Observability

English proficiency

Job description

EPAM Systems Inc. in the United States seeks an experienced engineer to design and deliver AI agent systems that remain reliable beyond demonstrations.

You will own technical decisions and delivery for a defined system or substantial component, from requirements and design through production operation. The role blends strong software engineering with practical agent development, requires independent learning of new languages and runtimes, and involves mentoring others while communicating