Senior AI Agent Engineer

EPAM Systems, Inc.; Turkey; On-site; TRY 3,931,000 - 5,405,000; Full time

Benefits offered by this job

Continuous upskilling

Private health insurance

English courses

Mentoring programs

Job summary

EPAM Systems, Inc. is seeking engineers to design, build, and operate AI agent systems with robust memory, tool integration, and observability. You will work with customers to turn needs into concrete requirements and deliver prototypes through production-scale deployments.

The role emphasizes production-quality code, CI/CD practices, and diagnostics across multi-step workflows, with exposure to Bedrock, Azure AI Foundry, and Vertex AI.

Qualifications

• 5+ years in production software engineering.
• Experience delivering LLM-based agents to production.
• Strong programming skills in at least one language and diagnostics.

Responsibilities

• Design, build, deploy, and operate agent systems across execution, memory, identity, tool integration, and observability.
• Work with customers to translate needs into functional requirements and measurable acceptance criteria.
• Develop prototypes and production-grade slices from design through deployment and testing.
• Diagnose production issues using logs, metrics, and traces to improve reliability and cost.

Skills

LLM-based agents production

Cloud services

API design

CI/CD

English proficiency

Education

Bachelor's degree in CS or related field

Tools

Bedrock

Azure AI Foundry

Vertex AI

Job description

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 agent development, make trade-offs explicit, and help other engineers deliver high-quality work.We welcome engineers from different programming backgrounds. We value depth in your existing language and the ability to learn the languages and tools needed for the role.ResponsibilitiesDesign, build, deploy, and operate agent systems across execution, memory, identity, tool integration, and observability within your area of responsibilityWork 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 deploymentDevelop 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 requirementsImplement 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 engagementsBuild 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 behaviorEstablish automated tests and agent evaluations for your components. Distinguish model-quality issues from software defects, and cover tool failures, interrupted execution, and unintended repeated actionsDiagnose production issues using logs, metrics, and traces. Improve reliability, latency, and cost, and verify that mitigation and recovery work as intendedContribute 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 stakeholdersRequirementsSubstantial production software engineering experience, typically five or more years, including at least one year delivering LLM-based agents to production. You can explain your contribution, the trade-offs you made, and the operational resultsStrong programming skills and production experience in at least one general-purpose language, together with hands-on agent development using SDKs, frameworks, or direct model APIs. You can independently learn an unfamiliar language or runtime and validate your implementation through tests and diagnosticsDepth in at least one technical area and the ability to evaluate language, runtime, and framework trade-offs against the system's requirements, including concurrency, performance, maintainability, and integration needsExperience designing systems or substantial components, evaluating alternatives, and independently making technical decisions within an agreed scopePractical experience with MCP, tool use, prompt and context engineering, memory, and agent evaluation, including testing behavior across multiple steps and failure conditionsPractical experience with cloud managed services for AI hosting (e.g., Bedrock, Azure AI Foundry, Vertex AI), including runtime, state, identity, integration, and observability concerns, and the ability to adopt an unfamiliar platform through working implementationsProduction engineering skills in API design, asynchronous processing, persistence, authentication and authorization, observability, retries, and security boundaries. You can investigate issues that span multiple componentsExperience with automated testing, CI/CD, code review, and AI-assisted development, together with a disciplined approach to validating generated output. You can clarify requirements, communicate designs, and support the growth of other engineersProficiency in English at a B2+ levelNice to haveExperience in application security, web penetration testing, or red-teaming within an authorized scopeExperience with sandboxed code execution, browser agents, or autonomous tool orchestrationExperience improving evaluation coverage, deployment safety, or operating costs for agent systemsExperience conducting technical interviews or contributing to engineering standards and knowledge sharingWe offerCONTINUOUS UPSKILLING, LEARNING & DEVELOPMENTDiversity of tasks and projectsAssessment center for objective review of competency levelPersonal development planMentoring programs and leadership developmentCertification and professional development supportAccess to learning platforms including more than 2,500 internal coursesEnglish courses taught by certified teachersCORPORATE BENEFITSExtra leave daysReferral bonusesCOMPENSATION PACKAGECompetitive compensation paid in USDRegular salary and performance reviewsMEDICAL & HEALTHCAREPrivate health insuranceWell-being eventsWORKING ENVIRONMENTRecreation areas and kitchensTea, coffee and snacksSports equipment and game consolesIT EquipmentMicrosoft’s Software Assurance Home Use Program (HUP)Please note that our Talent Attraction Team reviews applications and CVs submitted in English.EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.