AI Engineer

We are seeking an AI Engineer to design and deliver production-grade GenAI and agentic solutions that connect models, tools, and enterprise data to complete complex workflows. You will build reliable orchestration, RAG search capabilities, and evaluation/observability to improve quality and safety.
Responsibilities
Design and productionize GenAI and agentic systems that orchestrate models, tools, data, state, and human input across multi-step workflows
Develop agent orchestration patterns including planning, routing, structured outputs, workflow graphs, retries, error recovery, and human-in-the-loop controls
Build RAG and enterprise search solutions using embeddings, vector databases, hybrid retrieval, metadata filtering, query transformation, reranking, grounding, and citations
Create evaluation and test frameworks that measure task completion, groundedness, retrieval quality, tool-use accuracy, safety, robustness, and regression
Implement observability for prompts, traces, retrieval, tool calls, token usage, cost, latency, failures, and user feedback to drive continuous improvement
Develop production-grade Python and FastAPI services with automated tests, CI/CD, caching, fallbacks, and performance and cost optimization
Apply Responsible AI and security practices including guardrails, content filtering, privacy controls, least-privilege access, auditability, and escalation paths
Build reusable tools, APIs, and connectors with clear schemas, permissions, authentication, sandboxing, and least-privilege access
Collaborate with product, engineering, and domain experts to define measurable outcomes, prototype solutions, and scale successful capabilities
Requirements
2+ years of experience delivering production-ready AI or GenAI solutions
Hands-on agentic application experience with tool/function calling, routing, and structured outputs
Solid leadership skills to collaborate with cross-functional partners and align on measurable outcomes
Workflow delivery experience translating business needs into agentic workflows from prototype to scale
Strong Python skills for production services, asynchronous workflows, and data handling
API engineering skills with FastAPI, automated testing, and CI/CD practices
Strong RAG and vector database skills including embeddings, hybrid retrieval, reranking, and citations
Security and Responsible AI skills including guardrails, privacy controls, and prompt-injection defenses
Strong problem-solving skills for reliability, error recovery, and performance optimization
Upper-Intermediate English (B2) proficiency
Nice to have
Amazon Web Services (AWS) experience with managed GenAI platforms such as Bedrock
Data governance knowledge for permissions, auditability, and enterprise controls
Gen AI assisted development practices for accelerating delivery with quality safeguards
Machine learning engineering experience for model evaluation and deployment readiness
Responsible AI experience with safety testing and governance processes
We offer
International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Work arrangement
Yes