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Роль дает серьезную техническую ответственность в быстро развивающейся сфере ИИ и четко описывает работу с production-системами; при этом проекты для клиентов могут быть менее долгосрочными, чем работа над собственным продуктом.
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?Только Беларусь
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Текст:
Hirify AI/Оригинал
TL;DR
Senior AI Agent Engineer (AI/LLM/MCP): Designing, building, deploying, and operating reliable AI agent systems with an accent on agent workflows, memory and context management, cloud AI hosting, and tool integrations. Focus on implementing LLM gateway and routing layers, validating multi-step agent behavior, and improving production reliability, latency, and cost.
Location: Remote or hybrid; remote work is available from anywhere in Belarus. Listed locations: Grodno and Minsk.
Company
EPAM Systems delivers software engineering and AI solutions for customers and stakeholders.
What you will do
Design, build, deploy, and operate AI agent systems covering execution, memory, identity, tool integration, and observability.
Convert customer and stakeholder needs into functional requirements and measurable acceptance criteria; build prototypes and production-grade components.
Develop agent workflows and production deployments with managed AI hosting services such as Bedrock, Azure AI Foundry, and Vertex AI.
Implement and operate LLM gateway and routing layers for model tiering, quota and cost control, and observability.
Design memory and context management for multi-step workflows and build MCP servers and authorized security tool integrations.
Establish testing and agent evaluations, diagnose production issues, improve reliability, latency, and cost, and contribute to CI/CD, releases, documentation, and mentoring.
Requirements
At least five years of substantial production software engineering experience, including at least one year delivering LLM-based agents to production.
Strong production programming experience in at least one general-purpose language and hands-on agent development with SDKs, frameworks, or direct model APIs.
Depth in at least one technical area and the ability to assess language, runtime, and framework trade-offs involving concurrency, performance, maintainability, and integrations.
Experience designing systems or substantial components, evaluating alternatives, and making technical decisions independently within an agreed scope.
Practical experience with MCP, tool use, prompt and context engineering, memory, and agent evaluation across multi-step and failure scenarios.
Experience with managed AI hosting services, including runtime, state, identity, integration, and observability concerns.
Production engineering skills in API design, asynchronous processing, persistence, authentication and authorization, observability, retries, and security boundaries.
Experience with automated testing, CI/CD, code review, and AI-assisted development, with disciplined validation of generated output.
Ability to clarify requirements, communicate designs, support other engineers, and learn unfamiliar languages, runtimes, and platforms.
English proficiency at B2+ level.
Culture & Benefits
Remote or hybrid work format, with remote work available from anywhere in Belarus.
Work directly with customers, stakeholders, technical teams, and non-technical stakeholders.
Opportunity to make technical decisions, mentor less experienced engineers, and contribute to high-quality delivery.
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