ANNA (Allied Network for Neurodevelopmental Advancement)

AI Engineer

• Build and maintain production-grade AI agents that take action across ANNA's clinical and operational workflows — scheduling, intake, RCM, clinical decision support — using LLM reasoning over our shared data ontology.
• Design and implement tool use, state management, and failure handling for multi-agent workflows, ensuring reliability and quality in production.
• Contribute to ANNA's MCP server suite, exposing core data and product surfaces — Salesforce, scheduling, RCM, HR — to AI agents in a standardized, composable way.
• Implement and optimize RAG pipelines using pgvector, including embedding strategies and vector search, to surface relevant clinical history at the point of care.
• Build and iterate on clinician-facing product surfaces in React, ensuring they integrate seamlessly with ANNA's AI agent backend and fit the real-world workflows of clinical teams.
• Own features end-to-end: from backend API design in Django/FastAPI through to the front-end experience, with a high bar for quality at every layer.
• Iterate quickly in the open with clinical and operational end users, incorporating feedback and shipping improvements with velocity.
• Contribute to ANNA's clinical data ontology — the shared, specialty-agnostic data foundation that powers all AI agents, decision support, and outcome measurement across the platform.
• Write clean, well-documented, HIPAA-compliant code and contribute to CI/CD pipelines and engineering best practices as the team scales.
• Participate in architecture discussions and help make pragmatic build vs. buy decisions across the stack.

Full Stack AI Engineer