Agentic Engineer (Hybrid)
Agentic Engineer (Hybrid)
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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.
- Bachelors or Masters 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
Employment Type
Full-time
