Agentic Engineer

Responsibilities and Duties:

• XXgn and develop data pipelines to support AI agent interactions and system feedback loops.
• Train and fine-tune large language models (LLMs) using structured and unstructured data.
• Build scalable data architectures including databases and data lakes.
• Develop and manage ELT processes to support data science and analytics platforms.
• Implement high-performance data storage, retrieval, and transformation solutions.
• Work with vector databases for efficient embedding storage and retrieval.
• IntegXX AI/ML models and systems into applications.
• Conduct statistical analysis to identify trends and standardize data formats.
• CollaboXX with data scientists and engineers on preprocessing, training, and deployment workflows.

Requirement/Must Have:

• Strong data engineering fundamentals.
• Experience with Apache Spark and Azure Data bricks.
• Proficiency in Python and AI/ML frameworks.
• Experience in training LLMs with diverse datasets.
• Understanding of graph databases and vector stores.
• Skilled in implementing data partitioning stXXgies using Spark.
• Experience developing human-in-the-loop data systems.
• Expertise with Git version control.

Skills:

• Azure AI services (Blob Storage, Data Lakes, Azure ML, Azure OpenAI, etc.).
• ELT processes and data architecture design.
• Vector and graph databases.
• Embedding retrieval and AI agent integration.
• Statistical analysis and data transformation.
• Git, cloud computing concepts.

Qualification or Education:

• Bachelor's or Master's degree in Computer Science, Artificial Clientligence, Data Science, or a related field.