VDOT - Agentic Engineer
VDOT - Agentic Engineer
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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
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Design and develop data pipelines for agentic systems; develop robust data flows to handle complex interactions between AI agents and data sources.
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Train and fine-tune large language models (LLMs).
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Design and build data architecture including databases and data lakes to support various data engineering tasks.
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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.
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Implement data pipelines that facilitate feedback loops allowing human input to improve system performance in human-in-the-loop systems.
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Work with vector databases to store and retrieve embeddings efficiently.
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Collaborate with data scientists and engineers to preprocess data train models and integrate AI into applications.
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Optimize data storage and retrieval for high performance.
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Conduct statistical analysis to identify trends and patterns and create data formats from multiple sources.
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Strong data engineering fundamentals.
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Experience with big data frameworks such as Apache Spark and Azure Databricks.
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Ability to train LLMs using structured and unstructured datasets.
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Understanding of graph databases.
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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.
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Proficient in determining effective data partitioning criteria and implementing partition schemas using Spark.
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Understanding of core machine learning concepts and algorithms.
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Familiarity with cloud computing concepts and practices.
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Strong programming skills in Python and experience with AI/ML frameworks.
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Proficiency in working with vector databases and embedding models for retrieval tasks.
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Expertise in integrating with AI agent frameworks.
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Experience with cloud-based AI services especially Azure AI.
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Proficient with version control systems such as Git.
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Bachelors or Masters degree in Computer Science Artificial Intelligence Data Science or a related field.
Required/Desired Skills
Employment Type
Full-time
