Lead AI Engineer

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture.

Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are building a Lead AI Engineer role to steer scalable AI capabilities that solve varied business needs across our organization. You will partner with Product and Engineering to ship robust GenAI solutions, from LLM apps to shared platform components—apply now.

Responsibilities

Design and deliver AI systems that support multiple products and internal use cases

Translate product goals into executable technical plans and help shape team strategy

Implement and integrate AI solutions, including LLM-based systems, RAG pipelines, agents, and orchestration layers

Develop capabilities for structured data extraction, content classification, and content generation aligned with organizational ontologies

Contribute to a shared AI platform to improve reuse, maintainability, and developer experience

Optimize AI systems for cost-efficiency, scalability, performance, and operational reliability

Stay current on AI/ML advances and evaluate emerging tools and technologies

Collaborate with cross-functional teams through planning and delivery to refine requirements and approaches

Communicate technical tradeoffs, constraints, and risks clearly to stakeholders

Own projects end-to-end while balancing speed, quality, and long-term sustainability

Requirements

Proven background with 5+ years of professional experience as a software engineer

Strong command of Go or other modern backend languages such as Python, PHP, Java, or Scala

Hands-on experience of 1+ years building and deploying AI/ML systems in production environments

Practical experience with modern GenAI ecosystems including OpenAI, Anthropic, and Hugging Face, plus frameworks like LangChain

Deep understanding of implementing NLP tasks using LLMs, including text classification, named entity recognition, extraction, and summarization

Working knowledge of cloud platforms like AWS, GCP, or Azure, along with familiarity with MLOps workflows

Solid experience with vector databases, inference engines, and data persistence layers

Strong SQL skills and experience working with structured and semi-structured data

English proficiency at B2 (Upper-Intermediate) level or higher

Nice to have

Familiarity with frontend frameworks such as React or Angular

Experience developing internal services or systems utilized across teams

Background working with large-scale taxonomies or ontologies for classification, tagging, or content generation

Experience with structured output handling, including JSON mode, schema validation, and output parsing

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