AI/ML Engineer (GCP)
Focus: Intelligent automation and RAG engine development.
Tech Stack: Vertex AI, Gemini LLM SDK/ADK.
Key Responsibilities: Designing and implementing Retrieval-Augmented Generation (RAG) pipelines to enhance prescription processing and decision-making.
Core Requirements
Experience: Proven track record in large-scale platform modernization (Legacy-to-Cloud).
Cloud Proficiency: Deep hands-on experience with GCP services, specifically serverless functions and Stackdriver (Cloud Trace, Cloud Logging) for observability.
Domain Knowledge: Experience in the Pharmacy or Healthcare sector (specifically prescription processing or specialty meds) is a significant plus.
Location: US-based. Preference for candidates in Dallas, TX (CST) for occasional on-site collaboration. Open to remote work within CST/EST time zones.
Soft Skills: Strong culture fit, proactive communication, and ability to work in a fast-paced, 1-2 month ramp-up environment.
Project Logistics
Role Type: Contract (Initial team of 2 5, scaling to 10).
Timeline: Immediate start.
Interview Process: Two-round internal technical and culture fit assessment.