Senior AI Full stack Software Engineer

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.

- 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

- 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.

- Prompt Engineering & Optimization: Advanced techniques for prompt tuning, caching, and benchmarking.

- Full Stack Development: Proficiency in Python, Node.js, and modern web frameworks.

- 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.