Senior AI Engineer — Databricks & Agentic AI Lead

EPAM Systems, Inc.; Turkey; On-site; TRY 600,000 - 1,000,000; Full time

Benefits offered by this job

Continuous upskilling

Private health insurance

Well-being events

Referral bonuses

Job summary

EPAM Systems, Inc. seeks a Lead AI Engineer to advance agentic AI solutions within the Trinity data platform for PLM use cases.

You will embed in the client’s PLM team, design ingestion pipelines with ai_parse_document for PDFs/Excel/Word, and build Agent Bricks to extract structured data from supplier docs. You will optimize LLM-driven grouping with ai_query, develop Databricks Apps front-end (React + Python), and ensure governance through logging and lineage in Unity Catalog.

Qualifications

• 5+ years of AI/data engineering experience with Databricks (Unity Catalog, Volumes, Model Serving).
• Proficiency in ai_parse_document and Agent Bricks for document ingestion and information extraction.
• Strong Python skills (PySpark, pandas, FastAPI).
• Expertise in React front-end development with hooks and REST integration.
• Familiarity with Azure networking (Private Link/Endpoints, VNet).
• LLM prompt engineering and ai_query; Graph DBs like Neo4j; Delta Lake/Lakebase and REST API design.
• English proficiency at B2 or higher.

Responsibilities

• Embed within the client's PLM team from day one to understand workflows and properties management.
• Design and implement document ingestion pipelines using Databricks ai_parse_document for PDFs, Excel, and Word files.
• Build and maintain Agent Bricks pipelines to extract structured data.
• Develop and optimize LLM-powered grouping/recommendation logic using ai_query and Model Serving.
• Create the Databricks Apps front-end (React + Python) with upload, metadata grids, forms, and human-in-the-loop screens.
• Integrate the Graph DB layer to store relationships between specs, properties, and AI recommendations.
• Configure Azure Private Link/Private Endpoint and DNS for databricksapps.com within the corporate network.
• Implement structured logging, lineage tracking in Unity Catalog, and audit trails for governance.
• Contribute to ARB artifacts and technical design docs; collaborate with Business Analysts and Delivery Manager.

Skills

Databricks

Unity Catalog

Model Serving

Python

PySpark

React

FastAPI

REST APIs

Graph Databases

Tools

Neo4j

Azure Private Link

Unity Catalog

Job description

EPAM Systems, Inc. seeks a Lead AI Engineer to advance agentic AI solutions within the Trinity data platform for PLM use cases.

You will embed in the client’s PLM team, design ingestion pipelines with ai_parse_document for PDFs/Excel/Word, and build Agent Bricks to extract structured data from supplier docs. You will optimize LLM-driven grouping with ai_query, develop Databricks Apps front-end (React + Python), and ensure governance through logging and lineage in Unity Catalog.