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

We are unable to provide sponsorship for this role presently or in the future.

Priority will be given to candidates who reside in the Columbus, OH and Atlanta, GA metropolitan area.

- 10+ years of software engineering experience, with 4+ years in AI/ML development preferred.

- 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.