Agentic Engineer

Overview

On Site
BASED ON EXPERIENCE
Contract - Independent
Contract - W2
Contract - 5+ mo(s)

Skills

Data Flow
Large Language Models (LLMs)
Data Architecture
Database
Management
ELT
Analytical Skill
Collaboration
Data Storage
Statistics
Data Engineering
Big Data
Graph Databases
Storage
Databricks
Computer Vision
Video
Media
Apache Spark
Algorithms
Python
Machine Learning (ML)
Vector Databases
Cloud Computing
Microsoft Azure
Version Control
Git
Computer Science
Artificial Intelligence
Data Science
IT Consulting
Staff Augmentation
Information Technology
Insurance
Life Insurance
SANS

Job Details

Agentic Engineer

Hybrid

About the Job
  • Duration: 12 Month Contract (possibility of extension)
  • Location: - Hybrid: Richmond, VA
  • Pay rate: Hourly, depending on experience
  • Job ID: 767067
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.

About our Company
DataSoft Technologies is a highly recognized provider of professional IT Consulting services in the US. Founded in 1994, DataSoft Technologies, Inc. provides staff augmentation services for Information Technology and Automotive Services. Our team member benefits include:
  • Paid Holidays/Paid Time Off (PTO)
  • Medical/Dental Insurance
  • Vision Insurance
  • Short Term/Long Term Disability
  • Life Insurance
  • 401 (K)

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.

About Datasoft Technologies, Inc.