Senior Software Development Engineer

CVS Health

. Design, build, and deploy agentic AI systems and LLM-powered applications .

Posted 10/21/2026full-timeUnited StatesSenior💰 $92,700 - $222,480 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying agentic AI systems and LLM-powered applications, with a strong focus on building full stack applications and implementing MLOps practices. Proficient in data pipeline development, API integration, and ensuring compliance with security and privacy standards.

Highest-signal resume keywords

Full Stack Application DevelopmentAgentic AI Solutions DeploymentMLOps/LLMOps ImplementationData Pipeline DevelopmentAPI Integration

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaNode.jsReactAngularVueSQLDockerKubernetesCI/CD

Soft Skills

Excellent Oral CommunicationExcellent Written CommunicationMentoring

Tools & Technologies

AWSGCPAzureDatabricksSnowflakeLangChainLangGraphPineconeWeaviatePgvector

Industry Keywords

AI SystemsLLM APIsData EngineeringFeature EngineeringComplianceHIPAAPHI/PII Protection

Tech Stack

Tools & technologies

AngularAWSAzureCloudDockerGoogle Cloud PlatformGraphQLJavaJavaScriptKubernetesMicroservicesNode.jsPythonReactSQLTypeScriptVue.js

About the role

Key responsibilities & impact

Design, build, and deploy agentic AI systems and LLM-powered applications
Develop end-to-end retrieval augmented generation (RAG) solutions
Design, build, and maintain data pipelines, data models, feature stores, and vector stores
Build full stack applications with responsive interfaces, backend services, and RESTful/GraphQL APIs
Integrate applications with LLM APIs, relational databases, data platforms, and vector databases
Implement MLOps/LLMOps practices, including versioning, evaluation, monitoring, and automated releases
Implement CI/CD pipelines, automated testing, infrastructure as code, and observability
Troubleshoot production issues across data, models, APIs, and user interfaces
Apply AI-assisted development tools and establish team standards
Participate in design and code reviews and mentor junior engineers
Partner with product owners, designers, analysts, and data scientists on AI-enabled solutions
Ensure security, privacy, compliance, HIPAA, PHI/PII protection, auditability, and responsible AI controls

Requirements

What you’ll need

6+ years of professional software engineering experience
Strong experience building full stack applications and delivering AI/ML-enabled solutions to production
Proficiency in at least one modern backend language, such as Python, Java, or Node.js/TypeScript
Proficiency in at least one modern front end framework, such as React, Angular, or Vue
Hands-on experience building and deploying Agentic AI solutions in complex cloud infrastructure environments
Experience with LangChain, LangGraph, and LLM API integration
Experience building data pipelines for ML/AI workloads, including feature engineering and embedding generation
Experience with vector databases such as Pinecone, Weaviate, or pgvector for RAG use cases
Experience designing and building RESTful APIs and microservices, including authentication/authorization, API security, and service-to-service integration
6+ years of experience with SQL and relational database management systems, including schema design and query optimization
3+ years of experience with cloud or data engineering platforms such as AWS, GCP, Azure, Databricks, or Snowflake
Familiarity with MLOps/LLMOps practices, model versioning, monitoring, and production ML/AI pipeline support
Experience with CI/CD, Docker, Kubernetes, Git-based workflows, and automated testing
Hands-on experience troubleshooting data, application, and AI system issues
Hands-on experience with performance improvement across data, backend, front end, and AI inference layers
Willingness to implement process improvements and best practices
Excellent oral and written communication skills
Bachelor’s degree in Computer Science, Engineering, or a related field

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 eligibility