Overview
On Site
USD 1-1
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent
Skills
Agentic Engineer
Data Engineer
Agentic Systems
Data Pipelines
LLM Training
Large Language Models
Human-in-the-Loop Systems
Data Architecture
Data Lakes
ELT Pipelines
ETL Development
Vector Databases
Data Embeddings
AI Agent Frameworks
Azure Databricks
Azure Blob Storage
Azure Data Lake
Azure Machine Learning
Azure Computer Vision
Azure Video Indexer
Azure Media Services
Azure AI Search
Apache Spark
GraphDB
Big Data Frameworks
Python Programming
AI/ML Frameworks
Statistical Analysis
Structured Data
Unstructured Data
Data Partitioning
Data Conflation
Data Integration
Cloud AI Services
Azure AI
AI Optimization
Cloud Computing
Data Modeling
AI Model Training
Retrieval-Augmented Generation
AI System Integration
Version Control
Git
Data Science Collaboration
High-Performance Data Retrieval
Feedback Loop Systems
AI Infrastructure
Cloud-Based Data Engineering
Spatial Data
GIS Data
Bachelors Degree in Computer Science
Masters Degree in Data Science
VDOT
Richmond VA
Quarterly Onsite Requirement
Public Sector AI Jobs
Government Data Engineering
Contract AI Engineer.
Job Details
Job Info:
- Job Title: Agentic Engineer
- Client: State of VA
- Start Date: 0714/2025 (Tentative)
- Position Type: Contract
- Duration: 12/31/2025 (with possibility of extension)
- Location: Richmond, VA (Hybrid quarterly)
- Work Hours: 40hours/week
- Interview Type: In Person
- Internal Job ID: OOJ - 4058
- Client Job ID: 767067
Short Description
Resource will need to be in Richmond, VA quarterly.
Complete Description
The Virginia Department of Transportation's Information Technology Division is seeking a highly skilled Agentic Engineer to design, develop that solve real-world problems. The ideal candidate will have experience in designing data process to support agentic systems. ensure data quality and facilitating interaction between agents and data.
Responsibilities
- Design and develop data pipelines for agentic systems; develop robust data flows to handle complex interactions between AI agents and data sources.
- Train and fine-tune large language models (LLMs).
- Design and build data architecture, including databases and data lakes, to support various data engineering tasks.
- Develop and manage Extract, Load, Transform (ELT) processes to ensure data is accurately and efficiently moved from source systems to analytical platforms used in data science.
- Implement data pipelines that facilitate feedback loops, allowing human input to improve system performance in human-in-the-loop systems.
- Work with vector databases to store and retrieve embeddings efficiently.
- Collaborate with data scientists and engineers to preprocess data, train models, and integrate AI into applications.
- Optimize data storage and retrieval for high performance.
- Conduct statistical analysis to identify trends and patterns and create data formats from multiple sources.
Qualifications
- Strong data engineering fundamentals.
- Experience with big data frameworks such as Apache Spark and Azure Databricks.
- Ability to train LLMs using structured and unstructured datasets.
- Understanding of graph databases.
- Experience with Azure services including Blob Storage, Data Lakes, Databricks, Azure Machine Learning, Azure Computer Vision, Azure Video Indexer, Azure OpenAI, Azure Media Services, and Azure AI Search.
- Proficient in determining effective data partitioning criteria and implementing partition schemas using Spark.
- Understanding of core machine learning concepts and algorithms.
- Familiarity with cloud computing concepts and practices.
- Strong programming skills in Python and experience with AI/ML frameworks.
- Proficiency in working with vector databases and embedding models for retrieval tasks.
- Expertise in integrating with AI agent frameworks.
- Experience with cloud-based AI services, especially Azure AI.
- Proficient with version control systems such as Git.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Required/Desired Skills
| Skill | Required/Desired | Amount | of Experience |
|---|---|---|---|
| Understanding the Big data technologies | Required | 5 | Years |
| Experience developing ETL and ELT pipelines | Required | 5 | Years |
| Experience with Spark, GraphDB, Azure Databricks | Required | 5 | Years |
| Experience training LLMs with structured and unstructured data sets | Required | 4 | Years |
| Experience in Data Partitioning and Data conflation | Required | 3 | Years |
| Experience with GIS spatial data | Required | 3 | Years |
About OP Consulting Group LLC
OP Consulting Group LLC is a women-owned IT Consulting, Staffing, and Training firm. We work directly with clients across industries, with a strong footprint in state and local government sectors. Our firm is known for delivering qualified professionals and fostering long-term partnerships with both consultants and clients.
We promise:
- Transparent pay and low margins to benefit consultants
- Proactive updates on job submissions
- Prompt and timely payments
- Direct access to clients and prime vendors only
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