{"schemaVersion":"jobsearcher.job.v1","id":"70c5d7ccd9558d4b0d854be1","url":"https://jobsearcher.com/jobs/70c5d7ccd9558d4b0d854be1","canonicalUrl":"https://jobsearcher.com/jobs/70c5d7ccd9558d4b0d854be1","title":"AI full stack Engineer","description":"Overview\nIn this AI-focused full stack role, you design, develop, and deploy end-to-end AI-powered software for healthcare products. You’ll work across front-end interfaces and back-end AI integration, shaping data pipelines and model deployments. You’ll translate complex AI concepts for non-technical audiences while optimizing prompts and LLM usage. You join a mission-driven team driving impactful healthcare outcomes through scalable AI solutions.\n\nCompensation / Benefitscompetitive base payannual bonus or long-term incentivesTotal Rewards programremote/work flexibilityequity opportunitiesbenefits information available\nResponsibilitiesDevelop AI-driven enterprise software applicationsIncorporate LLMs and AI tools (voice, image, parsing, text-to-speech, RAG) into new and legacy codebasesDesign and optimize data pipelines for AI development and testingExplain AI concepts to non-technical stakeholdersIterate prompts to improve LLM performance and manage prompt libraries/benchmarksFine-tune and serve GPT-family models (GPT-3.5/4, Llama)Develop AI agents with Semantic KernelPrototype co-pilot experiences and autonomous workflowsFully document code and application workAdapt and learn in a changing environmentCollaborate with internal and external stakeholders on large projectsDemonstrate passion for building AI solutions and solving complex problems\nKey requirementsMinimum 4+ years of software development experienceBachelor’s degree in Computer Science or related field, or equivalent experience4+ years building AI-enhanced apps using LLMs, and related models (voice, image, speech)Proficiency in Python and AI libraries (OpenAI, TensorFlow, PyTorch)Proficient in AI system evaluation and MLOps for scalable deploymentExperience with RAG development using LangChain/LlamaIndex and vector databasesExperience with AI coding tools (GitHub Copilot, Cursor, Codeium/Windsurf)LLM cost optimization through prompts, batching, and quantizationUnderstanding of LLM advancements for model selection and tuningAnalytical thinkingHealthcare domain understandingClear communication with cross-functional teamsPython, OpenAI, TensorFlow, PyTorchRAG development with LangChain/LlamaIndexVector databases","company":"McKesson","rawCompany":"mckesson","city":"Phoenix","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-09-22T03:22:30.884Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI full stack Engineer","description":"Overview\nIn this AI-focused full stack role, you design, develop, and deploy end-to-end AI-powered software for healthcare products. You’ll work across front-end interfaces and back-end AI integration, shaping data pipelines and model deployments. You’ll translate complex AI concepts for non-technical audiences while optimizing prompts and LLM usage. You join a mission-driven team driving impactful healthcare outcomes through scalable AI solutions.\n\nCompensation / Benefitscompetitive base payannual bonus or long-term incentivesTotal Rewards programremote/work flexibilityequity opportunitiesbenefits information available\nResponsibilitiesDevelop AI-driven enterprise software applicationsIncorporate LLMs and AI tools (voice, image, parsing, text-to-speech, RAG) into new and legacy codebasesDesign and optimize data pipelines for AI development and testingExplain AI concepts to non-technical stakeholdersIterate prompts to improve LLM performance and manage prompt libraries/benchmarksFine-tune and serve GPT-family models (GPT-3.5/4, Llama)Develop AI agents with Semantic KernelPrototype co-pilot experiences and autonomous workflowsFully document code and application workAdapt and learn in a changing environmentCollaborate with internal and external stakeholders on large projectsDemonstrate passion for building AI solutions and solving complex problems\nKey requirementsMinimum 4+ years of software development experienceBachelor’s degree in Computer Science or related field, or equivalent experience4+ years building AI-enhanced apps using LLMs, and related models (voice, image, speech)Proficiency in Python and AI libraries (OpenAI, TensorFlow, PyTorch)Proficient in AI system evaluation and MLOps for scalable deploymentExperience with RAG development using LangChain/LlamaIndex and vector databasesExperience with AI coding tools (GitHub Copilot, Cursor, Codeium/Windsurf)LLM cost optimization through prompts, batching, and quantizationUnderstanding of LLM advancements for model selection and tuningAnalytical thinkingHealthcare domain understandingClear communication with cross-functional teamsPython, OpenAI, TensorFlow, PyTorchRAG development with LangChain/LlamaIndexVector databases","datePosted":"2026-09-22T03:22:30.884Z","dateModified":"2026-09-22T03:22:30.884Z","hiringOrganization":{"@type":"Organization","name":"McKesson","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Phoenix","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"70c5d7ccd9558d4b0d854be1"},"url":"https://jobsearcher.com/jobs/70c5d7ccd9558d4b0d854be1"}}