Job Description
Senior Software Engineer, AI Platform
Key Responsibilities
Machine learning engineering: Design, train and fine‑tune LLMs for pharmacy‑specific tasks, and build and maintain the integration layers that connect these models to external systems such as REST APIs and vector databases for reliable, production‑grade data retrieval and inference. Data pipeline engineering: Build and optimize scalable pipelines that ingest unstructured medical data, apply OCR, cleaning, and normalization steps, and transform the results into standardized, high‑quality datasets for both model training and real‑time inference while ensuring scalability, accuracy, and regulatory compliance. Backend software development: Write, test, and maintain scalable backend services and APIs using Python (FastAPI) and TypeScript (Node.js), ensuring clean, maintainable code, robust testing, and seamless integration with the AI platform. Cloud infrastructure & DevOps: Manage and optimize deployments on GCP, ...
Key Responsibilities
Machine learning engineering: Design, train and fine‑tune LLMs for pharmacy‑specific tasks, and build and maintain the integration layers that connect these models to external systems such as REST APIs and vector databases for reliable, production‑grade data retrieval and inference. Data pipeline engineering: Build and optimize scalable pipelines that ingest unstructured medical data, apply OCR, cleaning, and normalization steps, and transform the results into standardized, high‑quality datasets for both model training and real‑time inference while ensuring scalability, accuracy, and regulatory compliance. Backend software development: Write, test, and maintain scalable backend services and APIs using Python (FastAPI) and TypeScript (Node.js), ensuring clean, maintainable code, robust testing, and seamless integration with the AI platform. Cloud infrastructure & DevOps: Manage and optimize deployments on GCP, ...