Staff Backend Engineer - AI Platforms (Health100)

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary Health100 is America's trusted front door to health and care. The Health100 platform integrates any participating health plan, PBM, pharmacy (retail and specialty), provider, digital health point solution provider, and employer, and addresses the top health care challenges for the consumer. We are seeking a passionate and hands-on Staff Backend Engineer to join a high-impact engineering team focused on building next-generation intelligent platforms. This role requires a strong technologist who can operate both as a technical leader and individual contributor, driving the design and delivery of scalable, production-grade AI solutions. The ideal candidate is enthusiastic about emerging technologies, particularly Generative AI, LLMs, and agentic systems, and can work independently while effectively leading and collaborating with cross-functional teams. You will play a critical role in building AI-powered applications, leveraging advanced techniques such as prompt engineering, Retrieval-Augmented Generation (RAG), model evaluation, and fine-tuning, while integrating them into enterprise-grade systems. This role also requires backend API development, enabling end-to-end ownership of AI-enabled application with strong understanding of frontend frameworks (Angular/React). Key Responsibilities: Design, build, and deploy scalable AI/GenAI applications leveraging LLMs, RAG architectures, and agentic frameworks Develop and optimize AI prompts, evaluation frameworks, and model pipelines to improve accuracy, performance, and reliability Architect and implement end-to-end solutions, including frontend applications (Angular/React) and backend APIs/services Integrate AI capabilities into enterprise systems using cloud-native and microservices architectures Lead technical design discussions and drive scalable, secure, and high-performance architecture decisions Collaborate across product, business, and engineering teams to deliver impactful solutions aligned with business goals Build reusable frameworks and tooling for LLM evaluation, monitoring, and observability Ensure adherence to best practices in software engineering, including CI/CD, testing, code reviews, and security Mentor and guide engineers, fostering a culture of innovation, quality, and continuous improvement Stay current with emerging trends in AI/ML, LLM ecosystems, and modern web technologies Required Qualifications 7+ years of experience in software engineering, delivering scalable, production-grade applications 5+ years experience in backend development, including: API development using Java, Python, or Node.js Experience in designing and developing microservices and RESTful APIs Hands-on experience with cloud platforms (GCP, RKE) Strong understanding of CI/CD pipelines, DevOps practices, and containerization (Docker/Kubernetes) Strong understanding of Frontend frameworks including Angular, React, or similar 1+ years of hands-on experience with Generative AI / LLM-based systems, including: Prompt engineering and LLM interactions RAG (Retrieval-Augmented Generation) architectures LLM evaluation techniques and frameworks Experience building AI-enabled applications using modern frameworks and tools Preferred Qualifications Ability to work independently while leading initiatives and collaborating across teams Excellent problem-solving, analytical, and communication skills Hands-on experience in model fine-tuning and optimization techniques Experience building multi-model or multi-provider AI orchestration systems Familiarity with vector databases, embeddings, and semantic search architectures Experience implementing LLM observability, evaluation pipelines, and guardrails Experience with frontend performance optimization and modern UI/UX practices Exposure to event-driven architectures, message queues, and streaming systems Healthcare or regulated domain experience Education Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience (High School diploma + 4 years of relevant experience) Pay Range The typical pay range for this role is: $106,605.00 - $260,590.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments . We anticipate the application window for this opening will close on: 10/17/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.