Senior AI Full stack Software Engineer

About the role

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

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

Qualifications

- 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 likePydantic, 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.

Skills

- Cloud & DevOps: Experience with secure cloud environments (AWS/GCP/Azure), containerization (Docker, Kubernetes), and CI/CD pipelines. - AI Tooling: Familiarity with OpenAI, Hugging Face,PyDanticAI, 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.