AIDataEngineer

Job Title: AI Data Engineer Reports to: Senior Data Engineer Role Summary: Data Engineering is a key role in the development team and is responsible for building and maintaining the AI-ready data foundation that powers inKind’s intelligent products, machine learning models, and large language model (LLM) applications. The position requires working across departments to build, operate, and optimize highly available data pipelines that feed analytics, ML training and inference, and retrieval-augmented generation (RAG) systems. Responsibilities: Responsible for the design, deployment, and maintenance of the business’s data and AI platforms Own architectural processes and decisions for various data models within the organization, including schemas, vector stores, and knowledge bases that support AI and LLM use cases Design and operate feature pipelines, embedding pipelines, and evaluation datasets that support machine learning model training, fine-tuning, and continuous evaluation Work cross-functionally with various departments, including but not limited to: leadership, the development team, the finance team, and the data science team, in order to convert data into understandable information and AI-ready inputs for other professionals Ensure implemented data and AI systems have relevant security, privacy, and data-governance controls — particularly around data flowing into and out of third-party LLM providers Minimum Qualifications: Bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field. An equivalent of this educational requirement in working experience is also acceptable 5+ years professional database development experience, preferably as a Data Engineer in a fast-paced environment and complex business setting Expert level knowledge of SQL with focus on writing and optimizing queries Demonstrated experience building and maintaining reliable and scalable ETL/ELT using Snowflake, dbt, and AWS architecture Proficie