Overview
Skills
Job Details
Role: Generative AI SME - Java/ Python with experience on RAG, Prompt engineering
Location: Charlotte, NC (Hybrid)
Responsibilities:
Design and implement RAG pipelines combining vector search, embedding models, and LLMs.
Integrate and fine-tune LLMs for domain-specific applications.
Develop and maintain Python-based ML services and APIs for production use.
Collaborate with cross-functional teams to translate business challenges into GenAI-powered solutions.
Evaluate, monitor, and optimize model performance and retrieval quality.
Requirements:
5 to 8 years of experience in software development with strong proficiency in Python.
Hands-on experience with LLMs, RAG architecture, and ML frameworks such as:
Hugging Face Transformers
LangChain
FAISS
Scikit-learn
Solid understanding of:
Embedding techniques
Prompt engineering
Model deployment and serving
Familiarity with cloud platforms like Azure, AWS, or Google Cloud Platform.
Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.