Positions: Junior and Senior GCP AI Engineering Location: Fully Remote (working core EST hours) Duration: 6-12 month contract to hire Project: New Generative AI use cases for enterprise systems Compensation: $50-75/hour Desired Experience • 3-5+ years of experience across data engineering utilizing data solutions, SQL and NoSQL, Snowflake, ELT/ETL tools, CICD, Bigdata, GCP, Python/Spark, Datamesh, Datalake, Data Fabric • 2+ years of hands-on experience supporting Gen AI initiatives in a data environment • Experience implementing RAG (Retrieval-Augmented Generation) pipelines • Vector/graph database experience to structure data for large models using AI tools (steps include extraction, chunking, embedding, and ground strategies) • Strong programming skills in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow Day-to-Day Responsibilities Responsible for implementing AI data pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions - includes pre-processing with extraction, chunking, embedding and grounding strategies to get the data ready. Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices for insurance-specific data use cases and challenges. Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc. Collaborate closely with DevOps and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems.