Senior AI Engineer: LLM & RAG Systems

9025 CVS Shared Services Resources LLC

Connecticut

Hybrid

USD 83,000 - 204,000

Full time

3 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Paid time off
Retirement options

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, RAG pipelines, and scalable prompt engineering frameworks to enhance decision-making and knowledge discovery.

You will collaborate with cross-functional teams to deliver secure, explainable, and production-ready AI solutions, ensuring compliance and robust performance across environments.

Qualifications

  • Proven experience building production-grade AI/ML systems.
  • Strong Python programming and software engineering practices.
  • Hands-on work with LLMs, APIs, and NLP fundamentals.

Responsibilities

  • Design, develop, and operationalize language model–powered applications for enterprise use cases.
  • Build text-based reasoning, RAG pipelines, and scalable prompt frameworks.
  • Collaborate with stakeholders to translate requirements into reliable, secure AI solutions.

Skills

Python programming
Production-grade AI/ML
LLMs & APIs
NLP fundamentals
RAG systems
Prompt engineering
APIs & microservices
Debugging complex systems

Education

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

Tools

LangChain
LlamaIndex
Semantic Kernel
Pinecone
Weaviate
FAISS
MongoDB Atlas Vector Search
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, RAG pipelines, and scalable prompt engineering frameworks to enhance decision-making and knowledge discovery.

You will collaborate with cross-functional teams to deliver secure, explainable, and production-ready AI solutions, ensuring compliance and robust performance across environments.

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