The company is looking to drive data-driven innovation across digital products and services by developing a Knowledge Assistant for the Pro & Services organization, focusing on natural language understanding and agentic workflows.
Requirements
- Python
- LangChain / LangGraph / CrewAI / AutoGen (any relevant)
- Hugging Face Transformers
- Vector DBs (e.g., FAISS, Weaviate, Pinecone)
- Git, VS Code, and cloud platforms (GCP preferred)
- Proficiency in SQL and machine learning techniques.
- Strong foundation in analytics and programming (Python, Java, Scala, or Rust)
Responsibilities
- Contribute to the development of a Knowledge Assistant for the Pro & Services organization, with a focus on natural language understanding and agentic workflows.
- Build, evaluate, and iterate on LLM-powered agents to support task execution, reasoning, and retrieval across structured and unstructured data.
- Collaborate closely with product managers, engineers, and other data scientists to integrate intelligent systems into customer and associate-facing platforms.
- Own model evaluation and validation pipelines, especially for LLM and RAG workflows, including performance tracking and ablation studies.
- Write clean, production-grade Python code and contribute to reusable components and pipelines.
- Apply critical thinking and analytical problem-solving to identify patterns, define rules, and optimize agent behaviors.
- Design and implement automated insight frameworks, develop dashboards to track financial and engagement metrics, and conduct advanced statistical modeling to support strategic decision-making.
Other
- Hybrid position in Mooresville,NC.
- The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
