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CVS Health

Senior Software Development Engineer – AI

CVS Health

. Design, develop, and operationalize advanced language model-powered applications for enterprise use cases .

Posted 10/9/2026full-timeRemote • United StatesSenior💰 $83,430 - $203,940 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and developing AI solutions, particularly with Large Language Models and Retrieval-Augmented Generation systems. Proficient in Python programming and familiar with software engineering best practices, ensuring production-grade performance and security.

Highest-signal resume keywords
Python ProgrammingLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)Natural Language Processing (NLP)AI/ML Systems Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI/ML Systems DevelopmentPrompt EngineeringMachine Learning ConceptsAPI Design and ImplementationDebugging and Problem-SolvingModel Evaluation TechniquesEmbeddings and Vector SearchPerformance MetricsSoftware Engineering Best PracticesProduction-Grade Solutions
Soft Skills
Collaboration with StakeholdersDecision-MakingKnowledge Discovery
Tools & Technologies
OpenAIGoogle Vertex AILangChainPineconeAWSAzureGoogle Cloud PlatformMongoDB Atlas Vector SearchFAISSWeaviate
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceMaster’s Degree in EngineeringMaster’s Degree in Data Science
Industry Keywords
Financial ServicesData-Intensive IndustriesMLOps PracticesCI/CD PipelinesAgent-Based Architectures

Tech Stack

Tools & technologies
AWSAzureCloudDistributed SystemsGoogle Cloud PlatformMicroservicesMongoDBPython

About the role

Key responsibilities & impact
  • Design, develop, and operationalize advanced language model-powered applications for enterprise use cases
  • Build text-based reasoning systems, Retrieval-Augmented Generation (RAG) pipelines, and scalable prompt engineering frameworks
  • Enhance decision-making, automation, and knowledge discovery across the organization
  • Collaborate with business stakeholders to translate business requirements into reliable, explainable, and production-ready AI solutions
  • Shape enterprise AI capabilities
  • Ensure solutions are secure, responsible, and optimized for real-world performance

Requirements

What you’ll need
  • Strong programming experience in Python and familiarity with software engineering best practices
  • Hands-on experience building production-grade AI/ML systems
  • Experience working with Large Language Models (LLMs) and APIs
  • Understanding of Natural Language Processing (NLP) fundamentals
  • Understanding of machine learning concepts, including training, evaluation, overfitting, and bias
  • Practical experience with Retrieval-Augmented Generation (RAG) systems
  • Practical experience with prompt engineering and prompt optimization
  • Practical experience with embeddings and vector search
  • Experience designing and implementing APIs, microservices, or distributed systems
  • Familiarity with model evaluation techniques and performance metrics
  • Strong debugging and problem-solving skills in complex systems
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience
  • Preferred: experience with LLM platforms such as OpenAI, Anthropic, or Google Vertex AI
  • Preferred: familiarity with LangChain, LlamaIndex, Semantic Kernel, or equivalent
  • Preferred: experience with vector databases such as Pinecone, Weaviate, FAISS, or MongoDB Atlas Vector Search
  • Preferred: knowledge of MLOps practices, including CI/CD pipelines for AI systems
  • Preferred: experience deploying solutions in AWS, Azure, or Google Cloud Platform
  • Preferred: exposure to agent-based architectures or multi-step AI workflows
  • Preferred: experience in financial services enterprise environments or similar data-intensive industries
  • Preferred: experience with LLM evaluation frameworks and benchmarking

Benefits

Comp & perks
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Paid time off
  • Retirement savings options
  • Wellness programs
  • Other resources supporting physical, emotional, and financial well-being
  • CVS Health bonus, commission or short-term incentive program in addition to base pay