Must Haves:
- Bachelor’s degree, 6+ years of experience in full stack software engineering, AI/ML, or related fields.
- Expertise in frontend (React/Next.js or similar frameworks) and backend (Python).
- Core AI & Data: Hands-on with LLMs, Multi-agent frameworks (LangGraph/A2A), Vector databases, and MLOps pipelines.
- Platform & Infra: Expertise in development of & deploying microservices and agents to Kubernetes using DevSecOps and secure API architectures.
- AI Governance: Awareness of Responsible AI (RAI) with implementation of PHI/PII scrubbing, hallucination detection, prompt injection mitigation, or similar controls.
- Evaluation: Experience implementing LLM eval frameworks (e.g., Ragas, Phoenix) to measure faithfulness and relevancy.
- Healthcare Domain: Epic/FHIR integration and clinical terminology.
- Advanced AI: Knowledge Graphs (GraphRAG), Voice-AI, and "Deep Agents."
- Cloud Stack: Deep experience with Azure and Databricks .
- Community: Open-source AI/ML contributions and/or publications.
- A collaborative and innovative team culture, focused on exploration and continuous learning.
- Opportunity to work in a transformational office aimed at staying competitive within the healthcare industry.
- 27-person team with product managers, engineers, data scientists, etc.
- Significant opportunities for career advancement into leadership roles, including Architect and Team Lead positions
