Senior AI & Automation Engineer - US Healthcare

Neolytix is a healthcare services company building an in-house automation program from scratch. The Senior AI & Automation Engineer will own the entire automation architecture, select tools, design workflows, and build a team, addressing complex compliance requirements and workflows across multiple systems.

Responsibilities:

• Design and deploy AI agents that handle document processing, data extraction, classification, and decision support across healthcare workflows
• Build and maintain automation pipelines using N8N, Power Automate, and custom Python scripts — choosing the right tool for each problem
• Implement LLM-based agents with tool-calling, function calling, and MCP (Model Context Protocol) for complex multi-step tasks
• Connect disparate healthcare systems via APIs, webhooks, and middleware — turning manual handoffs into automated flows
• Mentor junior developers and interns, building a bench of automation talent. Document architectures, create training materials, establish engineering standards
• Work directly with operations leaders to identify high-impact automation opportunities, estimate ROI, and prioritize the roadmap

Requirements:

• Python as a primary language — you think in Python, not just script in it
• Strong API integration experience (REST, webhooks, OAuth, API chaining)
• Hands-on experience with at least one LLM integration (OpenAI API, Claude API, LangChain, CrewAI, or similar)
• N8N or Make at an advanced level (custom nodes, error handling, complex branching)
• Solid understanding of data pipelines — extraction, transformation, validation, loading
• Ability to architect solutions end-to-end, not just build individual components
• 3+ years of hands-on automation engineering (we care about what you've built, not how long you've been employed)
• MCP (Model Context Protocol) — understanding of tool-calling patterns and agent orchestration
• Power Automate / UiPath — useful for specific enterprise workflows, but not the core of this role
• Healthcare domain experience — understanding of HIPAA, credentialing, revenue cycle, or clinical workflows
• Experience with vector databases, RAG pipelines, or document intelligence
• DevOps basics — Docker, CI/CD, cloud deployment (AWS/Azure)