Senior AI Engineer

We are seeking a Senior AI Engineer to design and product ionize GenAI and agentic solutions that orchestrate models, tools, and enterprise data to solve complex, multi-step workflows. You will build reliable RAG, evaluation, and observability capabilities and deliver robust Python services.

Responsibilities Design and product ionize GenAI and agentic systems that orchestrate models, tools, enterprise data, state and memory, and human input

Develop agent orchestration patterns for planning, routing, tool calling, structured outputs, workflow graphs, handoffs, retries, and recovery

Build reusable agent tools, APIs, and connectors with clear schemas, authentication, permissions, sandboxing, and least-privilege access

Build and optimize RAG and enterprise search using embeddings, vector databases, hybrid retrieval, metadata filtering, reranking, grounding, and citations

Create evaluation and test frameworks that measure task completion, groundedness, retrieval quality, tool-use accuracy, robustness, and end-to-end outcomes

Implement observability for prompts, traces, retrieval, model behavior, token usage, cost, latency, failures, and user feedback to drive improvements

Develop production-grade Python and FastAPI services with automated testing, CI/CD, load testing, caching, fallbacks, and performance optimization

Apply Responsible AI and security practices including guardrails, content filtering, privacy controls, authorization, auditability, and escalation paths

Collaborate with product, engineering, and domain partners to translate needs into measurable workflows, prototype quickly, and scale successful solutions

Requirements3+ years experience delivering production-ready AI or GenAI solutions

Senior-level ownership skills to lead technical decisions for agentic workflows

Strong project execution skills to take prototypes to reliable production releases

Advanced Python skills for production software engineering and data handling

FastAPI development skills including async APIs, testing, and service design

Agent orchestration skills with tool/function calling, structured outputs, state and memory, retries, and human-in-the-loop controlsRAG engineering skills using embeddings, vector databases, hybrid retrieval, reranking, grounding, and citations

Evaluation framework skills for LLM and agentic quality, safety, and regression testing

Observability skills for prompts, traces, tool calls, retrieval, cost, latency, and failures

Responsible AI and security skills including guardrails, prompt-injection defenses, and privacy controls

Upper-Intermediate English skills (B2, Upper-Intermediate)
Nice to have Amazon Web Services skills including cloud-native deployment patterns

Data governance skills for enterprise content and access controls

Gen AI assisted development skills to accelerate delivery and maintain quality

Machine learning engineering skills for model evaluation and system integration

Responsible AI skills for safety, compliance, and risk management

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 Linked In Learning library and 22,000+ courses

Global career opportunities

Volunteer and community involvement opportunitiesEPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and Linked In