DKMRBH Inc.
Wilmington, DE
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Job Description :
The Client is seeking a highly skilled Agentic Data Engineer to design, develop, and deploy data pipelines that leverage agentic AI 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:
  • Designing and developing data pipelines for agentic systems, develop Robust data flows to handle complex interactions between AI agents and Data sources.
  • Ability to train and fine tune large language models
  • Design and build the data architecture, including databases, 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 with high performance
  • Statistical analysis, trends, patterns to create data formats from multiple sources.
Qualifications:
  • Strong Data engineering fundamentals
  • Utilize Big data frameworks like Spark/Databricks
  • Training LLMs with structed and unstructured data sets.
  • Understanding of Graph DB
  • Experience with Azure Blob Storage, Azure Data Lakes, Azure Databricks
  • Experience implementing Azure Machine Learning, Azure Computer Vision, Azure Video Indexer, Azure OpenAI models, Azure Media Services, Azure AI Search
  • Determine effective data partitioning criteria
  • Utilize data storage system spark to implement partition schemes
  • Understanding core machine learning concepts and algorithms
  • Familiarity with Cloud computing skills
  • Strong programming skills in Python and experience with AI/ML frameworks.
  • Proficiency in vector databases and embedding models for retrieval tasks.
  • Expertise in integrating with AI agent frameworks.
  • Experience with cloud AI services (Azure AI).
  • Experience with GIS spatial data to create markers on maps ( lat long nearest topology of road, geo-locate between datasets, correlation etc.).
  • Experience with Department of Transportation Data Domains developing an AI Composite Agentic Solution designed to identify and analyze data models, connect & correlate information to validate hypotheses, forecast, predict and recommend potential strategies and conduct What-if analysis.
  • Bachelor's or master's degree in computer science, AI, Data Science, or a related field.
Skill
Required / Desired
Amount
of Experience
Understanding the Big data Technologies
Required
1
Years
Experience developing ETL and ELT pipelines
Required
1
Years
Experience with Spark, GraphDB, Azure Databricks
Required
1
Years
Expertise in Data Partitioning
Required
1
Years
Experience with Data conflation
Required
3
Years
Experience developing Python Scripts
Required
3
Years
Experience training LLMs with structured and unstructured data sets
Required
2
Years
Experience with GIS spatial data
Required
3
Years
             

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