Lead AI Engineer: Agentic & Multi-Agent Systems

EPAM Systems; United States; Remote; USD 170,000 - 230,000; Full time

Benefits offered by this job

Vacation and sick leave

Family medical insurance

Life event support

Mental health discounts

Code language training for employees'/

Job summary

EPAM Systems is seeking a seasoned Lead AI Software Engineer to lead the design and development of agentic and multi-agent systems at scale. You will drive production-grade AI applications using LangChain and LangGraph, while collaborating with cross-functional teams to advance RAG evaluation and data storage strategies.

The role emphasizes extensive Python development, cloud familiarity, and hands-on experience with state-of-the-art AI platforms.

Qualifications

• Proficient in Python with strong engineering practices.
• Experience with LangChain and graph frameworks is essential.
• Understanding of cloud platforms and data science concepts.

Responsibilities

• Support the design of agentic AI systems and multi-agent architectures at scale.
• Develop production-grade AI applications using LangChain and LangGraph.
• Contribute to retrieval-augmented generation (RAG) evaluation methods.
• Build and maintain vector databases for AI data storage and retrieval.
• Apply data science techniques to boost AI system performance.
• Collaborate with cross-functional teams to integrate AI solutions.
• Document system designs and development processes.
• Deploy and monitor AI applications and troubleshoot bottlenecks.

Skills

Python programming

LangChain

LangGraph

Cloud platforms

Data science methodologies

Team leadership

Job description

EPAM Systems is seeking a seasoned Lead AI Software Engineer to lead the design and development of agentic and multi-agent systems at scale. You will drive production-grade AI applications using LangChain and LangGraph, while collaborating with cross-functional teams to advance RAG evaluation and data storage strategies.

The role emphasizes extensive Python development, cloud familiarity, and hands-on experience with state-of-the-art AI platforms.