
10,000+ employees
Founded 1963
🏥 Healthcare
⚕️ Healthcare Insurance
🛒 Retail
Healthcare • Healthcare Insurance • Retail
CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.
🔥 0 minutes ago
🌵 Arizona, Colorado, +6 more states – Remote
💵 $83.4k - $203.9k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
👻 Ghost score 0%
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10,000+ employees
Founded 1963
🏥 Healthcare
⚕️ Healthcare Insurance
🛒 Retail
Healthcare • Healthcare Insurance • Retail
CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.
• 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
• 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
• 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
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