Lead Agentic AI & Deep Learning Engineer

EPAM Systems; United States; Remote; USD 170,000 - 210,000; Full time

Job summary

EPAM Systems Inc. seeks a Lead AI & Deep Learning Engineer to bridge traditional ML/DL with agentic AI patterns for real-time workflows.

You will deliver production-ready agentic systems for content scanning, tagging, and contextual ad insertion, while designing event-driven microservices over WebSockets with OpenSearch and Weights & Biases evaluation. Responsibilities include designing agentic AI frameworks, building ML/DL models for OCR and audio analysis, and maintaining observability

Qualifications

• Experience with traditional ML/DL and agentic AI workflows.
• Hands-on with event-driven microservices and MCP over WebSockets.

Responsibilities

• Design and deploy agentic AI frameworks including context management and event-driven architectures.
• Fine-tune ML/DL models for classification, OCR, audio analysis.
• Architect search and retrieval systems using vector databases like OpenSearch/Elasticsearch.
• Implement evaluation pipelines with Weights & Biases to validate models before production.
• Collaborate in a fast-paced Kanban setup with rapid prototyping and reviews.
• Deliver autonomous workflows over WebSockets for live streaming tagging.

Skills

Python programming

FastAPI

Agentic AI workflows

MCP

WebSockets

Tools

OpenSearch/Elasticsearch

Weights & Biases

LangChain

LlamaIndex

Terraform

AWS Cloud

Job description

EPAM Systems Inc. seeks a Lead AI & Deep Learning Engineer to bridge traditional ML/DL with agentic AI patterns for real-time workflows.

You will deliver production-ready agentic systems for content scanning, tagging, and contextual ad insertion, while designing event-driven microservices over WebSockets with OpenSearch and Weights & Biases evaluation. Responsibilities include designing agentic AI frameworks, building ML/DL models for OCR and audio analysis, and maintaining observability