Agentic Engineer (Hybrid) Job at Serigor Inc., Richmond, VA

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  • Serigor Inc.
  • Richmond, VA

Job Description

Job Title: Agentic Engineer (Hybrid)

Location: Richmond, VA

Duration: 12+ Months

Job Description:

The client 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.

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

Job Tags

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