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Responsibilities Collaborate within an agile team to build AI-driven solutions: work with development tickets, contribute to sprint planning and reviews, and ensure alignment with team goals and timelines. Team collaboration: proficiency at working within the scrum framework.
Direct message the job poster from K-Recruiting Life Sciences
We unite the people who make our world healthier by placing top experts with life sciences companies worldwide. Accurate.
Drive AI research and experimentation: explore novel approaches, design and run experiments (including A/B tests), and translate findings into actionable improvements. Support end-to-end delivery processes: participate in release cycles, demos, and feedback loops to continuously improve AI features and user experience.
Qualifications Strong foundation in OOP, modular programming, unit testing, code readability, and maintainability. Familiar with development practices: Docker, Git workflows, documentation. Strong experience with LangChain and Azure cognitive services (e.g., Azure OpenAI, AI Search, Document Intelligence).
Thorough understanding of GenAI and LLM concepts: prompt engineering, LLM tools, RAG architecture and agentic design patterns. Strong experience in building RESTful microservices, leveraging tools such as FastAPI, SQLModel, Pydantic, Pika, Celery, Pymongo.
