Agentic Engineer

Agentic Engineer

USC/GC Holder

Duration of contract – 6-12+ months

Hybrid role in Richmond, VA.

Resumes must be 4 pages or less than 5 pages, or they won't be considered.

‼️Also, I want to stress that only local candidates will be considered. If possible, send proof of residence with your resume - driver's license, state-issued ID , or copy of rental agreement/deed are strongly preferred (one page); no utility bills will be accepted.

Our 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 processes to support agentic systems. ensure data quality and facilitate 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.