AI engineer in multi-agent systems

EPAM; United States; Hybrid; USD 180,000 - 250,000; Full time

Benefits offered by this job

Work abroad up to 2 months/year

Relocation opportunities across 55++I

Certifications: GCP, Azure, AWS

Internal learning database access

Free English classes

Housing support program

Well-being programs

Corporate and social events

Job summary

EPAM is seeking a Lead AI Engineer to drive Generative AI initiatives and architect scalable enterprise AI systems. You will mentor engineers and partner with clients to translate goals into technical roadmaps, delivering measurable business impact.

The role focuses on RAG, autonomous multi-agent workflows, tool integration, and model evaluation, with emphasis on security, cost, and performance. Strong English required; international travel possible.

Qualifications

• 5+ years in lead/principal/senior AI/ML engineering roles delivering production AI solutions.
• At least 1 year of leadership experience.
• Strong Python (FastAPI) proficiency and NLP foundations.
• Experience with LLMs and modern generative AI patterns like RAG.
• Production experience with major LLM APIs and framework orchestration tools.
• Ability to translate business goals into technical roadmaps and mentor others.

Responsibilities

• Drive technical vision and architecture for scalable enterprise AI apps.
• Collaborate with clients to map business goals to technical roadmaps.
• Set engineering standards for code quality, data pipelines, and prompts.
• Mentor junior and senior developers to raise performance.
• Guide R&D and PoCs; standardize tools and frameworks for GenAI edge.

Skills

Python FastAPI

NLP fundamentals

Leadership

Generative AI design

LLM APIs

RAG architectures

Multi-agent systems

UI prototyping

Tools

OpenAI API

Anthropic API

Bedrock

Gemini

LangGraph

LlamaIndex

Job description

Описание:

We are searching for a skilled, innovation-driven Lead AI Engineer to join our team and spearhead the development of cutting-edge Generative AI solutions. If you're passionate about artificial intelligence and adept at building systems that deliver measurable business impact, this opportunity is ideal for you. You will work with a dynamic group of professionals to create and deploy AI-driven technologies that tackle real-world challenges — all within a highly collaborative, supportive, and forward-focused environment.

Задачи:

• Drive technical vision and architecture by leading the design and implementation of highly scalable, robust enterprise AI applications, including complex multi-agent workflows, custom search engines, and end-to-end AI systems
• Partner closely with clients and business stakeholders to translate business goals into technical roadmaps and recommend high-impact, feasible LLM-driven solutions
• Establish engineering standards by setting the benchmark for code quality, architectural patterns, robust data pipelines, smart prompt management, and automated evaluation frameworks
• Foster a culture of learning and high performance through design reviews, development best practices, and active mentorship of junior and senior developers
• Direct R&D and innovation by guiding research on emerging models, framing prototyping strategies (PoCs), and standardizing the tools and frameworks used to stay on the bleeding edge of Generative AI

Требования:

• 5+ years of experience in a Lead, Principal, or Senior AI/Software Engineering role, with a track record of architecting and shipping complex, production-grade AI or ML-based solutions
• At least 1 year of relevant leadership experience
• Master-level proficiency in Python (specifically FastAPI or equivalent web frameworks) and a strong foundation in core NLP concepts (semantic similarity, tokenization, NER, text classification)
• Expertise in modern Generative AI design patterns, particularly RAG (Retrieval-Augmented Generation), autonomous multi-agent networks, and tool integration
• Production experience with major LLM APIs (OpenAI, Anthropic, Bedrock, Gemini) and framework orchestration tools such as LangGraph or LlamaIndex
• Background in optimizing AI applications for performance, security (prompt injection mitigation, data privacy), cloud costs, and system evaluation using programmatic or LLM-as-a-judge approaches
• Capability to quickly direct and build intuitive UI/UX prototypes using Streamlit, Gradio, or equivalent
• Outstanding leadership and communication skills to lead engineering discussions, bridge the gap between technical and non-technical audiences, and present technical architectures to executives and clients
• Strong English communication skills (B2 level or higher)

Условия:

• Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
• Opportunity to work abroad for up to two months per year
• Relocation opportunities within our offices in 55+ countries
• Corporate and social events
• Leadership development, career advising, soft skills and well-being programs
• Certifications, including GCP, Azure and AWS
• Unlimited access to EPAM's internal learning database
• Free English classes with certified teachers
• Discounts in local language schools, including online courses for the Kazakh language
• Medical & family care package
• Six trust days per year (sick leave without a medical certificate)
• Benefits package (sports activities, a variety of stores and services)
• Housing support program: preferential mortgage access via Otbasy Bank partnership