Senior AI Engineer — LLM & RAG Solutions

CVS Health; Springfield (IL); On-site; USD 83,000 - 204,000; Full time

Benefits offered by this job

Healthcare benefits

Retirement options

Wellness programs

Job summary

CVS Health is seeking an experienced AI/LLM Engineer to design, develop, and operationalize advanced language-model powered applications for enterprise use cases. You will build text-based reasoning systems and scalable RAG pipelines to enhance decision-making and knowledge discovery across the organization.

You will collaborate with cross-functional teams to translate business requirements into reliable, explainable AI solutions, focusing on secure and performant deployments in a

Qualifications

• Strong programming in Python and software engineering practices.
• Hands-on experience building production-grade AI/ML systems.
• Experience with LLMs and APIs.
• Understanding of NLP fundamentals and ML concepts.
• Experience with RAG systems and prompt engineering.
• Embeddings and vector search.
• API design and microservices.
• Model evaluation techniques.

Responsibilities

• Design and implement enterprise AI solutions at scale.
• Build and optimize RAG pipelines and prompt strategies.
• Collaborate with stakeholders to translate requirements into production-ready AI.
• Ensure security, reliability, and explainability of AI systems.

Skills

Python programming

LLM APIs

NLP fundamentals

RAG systems

Prompt engineering

APIs & microservices

Vector search

Debugging complex systems

Cloud deployment

Education

Bachelor's or Master's in CS/Engineering/Data Science

Tools

LangChain

LlamaIndex

Semantic Kernel

Pinecone

Weaviate

FAISS

MongoDB Atlas Vector

Spark

Pandas

FastAPI

Job description

CVS Health is seeking an experienced AI/LLM Engineer to design, develop, and operationalize advanced language-model powered applications for enterprise use cases. You will build text-based reasoning systems and scalable RAG pipelines to enhance decision-making and knowledge discovery across the organization.

You will collaborate with cross-functional teams to translate business requirements into reliable, explainable AI solutions, focusing on secure and performant deployments in a