Truity Credit Union is seeking a Data and AI Engineer to automate data workflows, refine data quality, and leverage AI/ML tools to solve practical business problems.
Requirements
- Proficiency in Python for scripting, data manipulation, and automation.
- Strong command of SQL for querying, transforming, and joining relational data.
- Experience with LLM tools and frameworks such as LangChain, OpenAI APIs, Retrieval-Augmented Generation (RAG).
- Familiarity with vector stores (e.g., FAISS, Weaviate) and embedding-based search.
- Understanding of data pipelines and orchestration tools (e.g., dbt, Airflow, Pandas workflows).
- Knowledge of AI agent frameworks and task routing techniques.
- Ability to build and refine prompt templates and AI-assisted data workflows.
Responsibilities
- Design and implement data manipulation pipelines using scripting languages like Python and SQL for ingestion, cleansing, enrichment, and formatting.
- Apply AI tools and frameworks to automate data classification, validation, and reporting tasks.
- Configure and test generative models (LLMs) to enhance data-driven workflows and knowledge management.
- Build lightweight scripts and tools for on-demand data exploration, transformation, and summarization.
- Integrate LLM-based agents for structured and unstructured data extraction, Q&A, and document parsing.
- Use vector databases, semantic search, and embedding models to enhance data retrieval and knowledge systems.
- Support and maintain data pipelines across structured systems (e.g., SQL warehouses) and semi-structured data sources.
Other
- Collaborate with teams such as Software Engineering, Data, Business Analysts, and Other technology stakeholders.
- Partner with analysts and business users to identify AI-powered opportunities for streamlining data operations.
- Monitor AI/data automation scripts to ensure accuracy, transparency, and compliance with data privacy standards.
- Document data workflows and AI tools clearly for reuse, maintainability, and auditability.
- Collaborate with the risk, security, and compliance teams to ensure responsible and ethical use of AI systems.
