Senior AI Engineer for Enterprise LLM & RAG Systems

CVS Health Corporation; North Carolina; Hybride; USD 122 000 - 204 000; Plein temps

Résumé du poste

CVS Health Corporation is seeking an experienced AI/LLM Engineer to design, develop, and operationalize advanced language-model-powered applications across the enterprise. You will build text-based reasoning, RAG pipelines, and scalable prompt engineering frameworks to enhance decision-making and automation.

You will partner with cross-functional teams to translate business requirements into secure, reliable AI solutions that perform well in real-world environments, with a focus on responsible

Qualifications

• Strong Python programming skills and software engineering best practices.
• Hands-on experience building production-grade AI/ML systems.
• Experience with LLMs and APIs.
• NLP, ML fundamentals, training/evaluation concepts.

Responsabilités

• Design, develop, and operationalize AI/LLM powered apps for enterprise use cases.
• Collaborate with stakeholders to translate business needs into reliable, explainable AI solutions.
• Build scalable RAG pipelines and prompt engineering frameworks for decision-making and automation.

Connaissances

Python

LLMs

NLP fundamentals

RAG systems

Prompt engineering

Embeddings & vector search

APIs & microservices

Performance metrics

Debugging

Formation

Bachelor’s or Master’s in CS/Eng/Data Science

Outils

LangChain

LlamaIndex

Semantic Kernel

Pinecone

Weaviate

FAISS

MongoDB Atlas Vector Search

Spark

Pandas

FastAPI/Flask

Description du poste

CVS Health Corporation is seeking an experienced AI/LLM Engineer to design, develop, and operationalize advanced language-model-powered applications across the enterprise. You will build text-based reasoning, RAG pipelines, and scalable prompt engineering frameworks to enhance decision-making and automation.

You will partner with cross-functional teams to translate business requirements into secure, reliable AI solutions that perform well in real-world environments, with a focus on responsible