Agentic Engineer

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 6 Month(s)
10% Travel

Skills

Big Data technologies
ETL and ELT pipelines
Spark
GraphDB
Azure Databricks
Experience training LLMs with structured and unstructured data sets
Data Partitioning and Data conflation

Job Details

Position: Agentic Engineer (Richmond, VA - quarterly on-site)

Key Requirements:
5+ years big data experience with Apache Spark, Azure Databricks, GraphDB, and ETL/ELT pipelines.
Must have 4+ years training LLMs with structured/unstructured datasets and experience with AI agent frameworks.
Strong Azure cloud expertise required (Data Lakes, Machine Learning, OpenAI, Computer Vision).
3+ years GIS spatial data experience essential.
Python proficiency and Bachelor's/Master's in Computer Science, AI, or Data Science required.

Role Focus:
Design data pipelines for agentic AI systems, train/fine-tune LLMs, build data architecture supporting AI agents, implement ELT processes, work with vector databases, and integrate AI agent frameworks.
Statistical analysis and multi-source data format creation included.

Ideal Candidate:
Senior data engineer with cutting-edge AI agent system experience, comprehensive Azure platform knowledge.
This is a specialized role at the intersection of traditional data engineering and autonomous AI systems.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.