Senior AI Full stack Software Engineer
About The Position
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. We are seeking a highly skilled and experienced Senior AI Full Stack Software Engineer to join our innovative team at CMM. This role involves designing, developing, and deploying end-to-end AI-powered solutions, from robust backend services to intuitive user interfaces, to enhance our healthcare and decision-making platforms.
Requirements
- 10+ years of software engineering experience, with 4+ years in AI/ML development.
- B.S. degree in Computer Science or related engineering discipline, or equivalent experience
- 2+ years of experience building AI solutions in healthcare or life sciences.
- Deep understanding of healthcare data standards (e.g., HL7, FHIR) and compliance frameworks (e.g., HIPAA, GDPR).
- Healthcare AI Expertise: Proven ability to build AI models for clinical NLP, medical imaging, patient risk stratification, and care personalization.
- LLM & RAG Systems: Skilled in building retrieval-augmented generation systems using tools like Pydantic, Semantic Kernel, LangChain, LlamaIndex, and vector databases.
- Experienced in creating custom AI agents or spec-driven tools.
- Experience writing skills for Claude, Copilot, Codex etc.
- Prompt Engineering & Optimization: Advanced techniques for prompt tuning, caching, and benchmarking.
- Full Stack Development: Proficiency in Python, Node.js, and modern web frameworks.
Nice To Haves
- Cloud & DevOps: Experience with secure cloud environments (AWS/GCP/Azure), containerization (Docker, Kubernetes), and CI/CD pipelines.
- AI Tooling: Familiarity with OpenAI, Hugging Face, PyDantic AI, TensorFlow, PyTorch, and healthcare-specific AI libraries.
- Communication & Leadership: Ability to communicate complex AI concepts to clinical and executive stakeholders and lead cross-functional teams.
- Experience mentoring and developing juniors in development an AI concepts/best practices.
Responsibilities
- Lead AI-Driven Healthcare Solutions: Design and deploy AI applications that support decision-making, patient engagement, and operational efficiency.
- Integrate AI into EHRs and Clinical Systems: Build scalable systems that incorporate LLMs, voice/image recognition, and document parsing into existing healthcare IT infrastructure.
- Develop and Optimize Data Pipelines: Ensure secure, HIPAA-compliant data pipelines for training and deploying AI models using structured and unstructured healthcare data (e.g., clinical notes, imaging, lab results).
- Model Evaluation and Compliance: Apply rigorous evaluation metrics (e.g., sensitivity, specificity, AUC-ROC) and ensure models meet regulatory and ethical standards.
- Mentor and Lead: Guide junior engineers and contribute to the strategic direction of AI initiatives within the organization.
- Rapid AI prototyping and iteration with product representatives to vet multiple concepts
Benefits
- competitive compensation package
- annual bonus or long-term incentive opportunities
- flexible hours
- paid benefits
- On-site culinary team
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What This Job Offers
Job Type
Full-time
Career Level
Senior
