Sr SW Engineer, AI

Senior Software Engineer, AI Platform Your opportunity The client's product suite leverages AI, particularly LLMs and intelligent search, to deliver context-aware clinical decision support in the pharmacy setting. It effectively acts as an on-demand clinical assistant, helping pharmacists quickly navigate vast amounts of drug information and patient data. External observers have described the company as a "developer of AI infrastructure for pharmacy and life science companies" that provides powerful contextual search through millions of documents within seconds . This capability enables pharmacists to obtain precise answers and insights rapidly, thereby improving both efficiency and the quality of patient care. 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, containerize applications with Docker, and orchestrate Kubernetes clusters to ensure reliable, scalable, and secure infrastructure • Customer collaboration: Engage directly with pharmacy partners and clinical stakeholders to gather feedback, diagnose real-world workflow challenges, and ensure development cycles deliver maximum value for customers Tech stack • Back-end & APIs: Python (FastAPI), TypeScript (Node.js), Vector databases • Machine Learning: PyTorch; Retrieval-Augmented Generation (RAG) pipelines; LLM fine-tuning • Cloud & DevOps: Google Cloud Platform; Docker; Kubernetes Your know-how • You have 4+ years of experience in backend or full-stack software engineering • You have 2+ years of experience with machine learning and data engineering • You have experience building high-availability distributed systems, including infrastructure, web services, horizontally scalable systems, and performance optimization • You have a contagious growth mindset and persistently seek opportunities to improve yourself, the team, products and processes in a scaling business • You have an excellent command of English It's a bonus if • You have a bachelor's degree in computer science, software engineering, machine learning or a related technical discipline • You have experience working on enterprise-grade software that handles sensitive data • You have previously served in a business that faces the healthcare industry • You have experience building or scaling a B2B SaaS startup • You have an acute interest in pharmacy or health technology