Remote AI Software Engineer — LLM/RAG

CVS Health Corporation; Northern (KY); Remote; USD 83,000 - 163,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Job summary

CVS Health Corporation is seeking an experienced AI/LLM Engineer to design, develop, and operationalize advanced language model–powered applications for enterprise use cases. You will focus on text-based reasoning, RAG pipelines, and scalable prompt frameworks to enhance decision-making and knowledge discovery.

You will collaborate with cross-functional teams, ensure secure and responsible AI solutions, and drive production readiness with robust APIs and microservices in a cloud environment.

Qualifications

• Proven experience building production-grade AI/ML systems.
• Strong background in NLP and ML concepts (training, evaluation, bias).
• Experience with LLM platforms and AI tooling (API usage, prompt engineering).
• Familiarity with vector databases and retrieval systems (RAG pipelines).
• Experience deploying scalable APIs/microservices and knowledge of CI/CD for AI.

Responsibilities

• Design, develop, and operationalize AI/LLM-based applications.
• Build Retrieval-Augmented Generation pipelines and scalable prompt frameworks.
• Collaborate with stakeholders to translate requirements into production-grade AI solutions.

Skills

Python programming

LLM experience

Problem solving

Debugging

Education

Bachelor’s or Master’s in CS/Engineering

Tools

OpenAI

Anthropic

Google Vertex AI

LangChain

Pinecone

Weaviate

FAISS

Docker

Kubernetes

FastAPI

Job description

CVS Health Corporation is seeking an experienced AI/LLM Engineer to design, develop, and operationalize advanced language model–powered applications for enterprise use cases. You will focus on text-based reasoning, RAG pipelines, and scalable prompt frameworks to enhance decision-making and knowledge discovery.

You will collaborate with cross-functional teams, ensure secure and responsible AI solutions, and drive production readiness with robust APIs and microservices in a cloud environment.