AI Developer

Requirements:

• You have a bachelors degree in computer science, artificial intelligence, data science, engineering, biomedical informatics, or a related field.
• You have at least 3 years of experience developing machine learning, deep learning, natural language processing, or generative AI solutions.
• You are proficient in Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, LangChain, Hugging Face, or similar technologies.
• You have experience building and using REST APIs, working with cloud platforms and databases, and developing distributed applications.
• You have deployed production-grade AI applications in secure enterprise environments.
• You understand data privacy, security principles, secure coding practices, and healthcare compliance requirements.
• You bring strong problem-solving, analytical, communication, and stakeholder management skills, as well as the ability to collaborate across teams and document technical work.
• You have hands-on experience with Claude for enterprise generative AI, conversational AI, document analysis, content generation, or workflow automation.
• You can design and optimize Claude prompts and are familiar with Claude APIs, integrations, model selection, and enterprise deployment considerations.
• You have experience comparing outputs from Claude, OpenAI, Gemini, or other LLM platforms.
• You are familiar with RAG, vector databases, semantic search, embeddings, or AI agent frameworks.
• You have experience with healthcare interoperability standards such as HL7, FHIR, or CDA, and with EHR systems.
• You are familiar with HIPAA, HITECH, healthcare compliance programs, and healthcare data governance.
• You have implemented MLOps practices such as CI/CD, model monitoring and versioning, deployment pipelines, and reproducibility frameworks.
• You understand Responsible AI principles, including explainability, transparency, bias mitigation, human oversight, and regulatory compliance.
• A masters degree or advanced certification in artificial intelligence, data science, health informatics, biomedical engineering, or a related discipline is preferred.
• Experience with AI-powered healthcare copilots, multi-agent AI systems, Claude-based document intelligence, or enterprise-scale AI deployments in regulated healthcare environments is a plus.

Responsibilities:

• Design, develop, test, and deploy AI/ML solutions for healthcare applications such as clinical documentation, patient communications, predictive analytics, care coordination, revenue cycle optimization, and workflow automation.
• Build and maintain generative AI applications using LLMs such as Claude, OpenAI, Gemini, and related platforms.
• Develop and improve prompt engineering frameworks, RAG architectures, and AI-powered knowledge management solutions.
• Partner with clinicians, operational leaders, data engineers, product teams, and compliance stakeholders to identify opportunities for AI-driven improvements.
• Create secure, scalable data pipelines using structured and unstructured healthcare data, including EHR, claims, laboratory, operational, and patient communication datasets.
• Integrate AI applications into healthcare platforms, workflows, and enterprise systems, supporting performance and user adoption.
• Assess model accuracy, explainability, fairness, reliability, and risk throughout the AI lifecycle.
• Establish monitoring and governance processes to identify model drift, declining performance, and compliance concerns.
• Maintain technical documentation covering AI systems, model validation, governance controls, deployment procedures, and audit requirements.
• Follow HIPAA-compliant development practices and safeguard protected health information.
• Keep up with developments in healthcare AI, machine learning, LLM technologies, and Responsible AI frameworks.

Technologies:

• AI
• CI/CD
• Cloud
• HL7
• LLM
• Machine Learning
• MLOps
• PyTorch
• Python
• RAG
• REST
• Security
• TensorFlow
• Support

More

We are seeking an experienced AI Developer to create scalable, secure, and compliant AI applications that improve healthcare operations, clinical workflows, patient engagement, and business performance. The role brings together machine learning, generative AI, software engineering, and healthcare data systems to turn complex healthcare challenges into practical solutions. We are an equal opportunity employer committed to a diverse, inclusive, and respectful workplace, and make employment decisions based on qualifications, merit, business needs, and applicable law.

last updated 44 week of 2026