> Markdown version of [/jobs/ext/3674474-senior-software-engineer-ai-cloud-platforms](https://www.wearedevelopers.com/jobs/ext/3674474-senior-software-engineer-ai-cloud-platforms). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - AI & Cloud Platforms - **Company:** CVS Health - **Location:** Wellesley, MA, United States - **Experience:** Expert - **Salary:** $111,240.0 - $222,480.0 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Java (Programming Language), Computer-Aided Design, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, BigTable, BigQuery, Software as a Service, Cloud Computing, Code Review, Continuous Integration, Information Engineering, Software Design Patterns, Github, Design of User Interfaces, Python (Programming Language), Machine Learning, NoSQL, Scrum Methodology, OpenAI, Responsive Web Design, Systems Integration, Google Cloud, Chatbots, Spring Cloud, LangChain, ReactJS, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Prompt Engineering, Google Vertex AI, Spring-boot, Llamaindex, Generative AI, Backend, Agentic-AI, Fastapi, Build Management, AI Platforms, AngularJS, Kubernetes, Information Technology, CrewAI, Figma, Machine Learning Operations, Claude, Google Gemini, Restful APIs, Semantic Kernel - **Published:** October 10, 2026 - **Apply:** https://dejobs.org/x/x/70ABA44EAF9E4BA28AB2D719048285AC/job/ ## About the Role Do you want to drive the next level of growth for a leading national B2C healthcare brand, impacting millions of prospects and members? We're looking for a hands-on senior engineer who loves building things - smart applications, powerful APIs, and AI-driven solutions that work in production. You'll help shape how we design and deliver software across the enterprise, and you'll play a key role in bringing Generative AI from concept to reality., * 3+ years building enterprise or cloud-based software * 3+ years of experience using with Python/R and/or JAVA for data analysis * 2+ years with CI/CD (GitHub Actions preferred) * 2+ years on GCP, Azure, or AWS * 2+ years shipping AI/ML or GenAI solutions in production * 1+ years with FastAPI, Flask, or Spring Boot * 1+ years building UIs with React * Hands-on experience calling LLM APIs * Hands-on experience in AI orchestration frameworks (LangChain, LangGraph, LlamaIndex, CrewAI, etc.) * Hands-on experience building RAG pipelines and integrating vector databases * Solid prompt engineering skills * Docker & Kubernetes deployment experience, * Experience with relational/NoSQL databases and knowledge of GCP cloud stores(Spanner , BigTable) * Experience with MLOps / LLMOps practices, data engineering, analytics engineering, machine learning, NLP, or transformer model concepts * Experience with non-relational datastores like BigQuery * Experience with Claude, Azure OpenAI, Vertex AI, OpenAI, or Gemini * Experience with multi-agent AI architectures * Experience with Message Queueing or Pub/Sub systems * Knowledge of UI design tools such as Figma * Experience with Scrum/Agile development methodologies Education * Bachelor's degree in Computer Science, Engineering, Machine Learning, or related discipline * Master's degree in above fields preferred ## Description * Build with Generative AI · GenAI: Design and deliver real-world GenAI solutions - chatbots, document intelligence tools, AI assistants, and more. · RAG: Implement Retrieval-Augmented Generation (RAG) pipelines that combine AI reasoning with organization's own data. · Agents: Build and coordinate AI agents using frameworks like LangChain, LangGraph, LlamaIndex, CrewAI, or Semantic Kernel. · Platforms: Connect to leading AI platforms: Azure OpenAI, Google Vertex AI, Anthropic Claude, OpenAI, or Gemini. · Prompt Engineering: Write and refine prompts and design patterns that make LLMs perform reliably in production. · AI Governance: Monitor, evaluate, and govern AI systems - tracking quality, safety, and compliance. * Build & Design Software · Own the technical design of cloud-native applications - from front-end interfaces to back-end services and everything in between. · Build responsive web UIs using React or Angular that are fast, scalable, and user-friendly. · Design and build REST APIs using Python (FastAPI or Flask) or Java (Spring Boot). · Build and test prototypes quickly to enable rapid iteration and experimentation. · Package and run applications on Google Cloud using containers and Kubernetes (GKE). * Lead & Collaborate · Lead technical conversations and help others grow through code reviews and mentoring. · Work in Agile sprints, contribute to CI/CD pipelines (GitHub Actions), and ship reliable software continuously.