GenAI Developer

We are looking for a Low Code GenAI Developer to join our project from biotech industry. Responsibilites: • Low-code design of GenAI solutions: Design, finetune and evaluate GenAIs solution on proprietary data to meet business needs. • Prompt Engineering: Craft, test, and optimize prompts to improve model outputs • GenAI Integration: Deploy and integrate LLMs into low-code platforms including agentic solutions, RAG, chatbots, designing APIs, latency/throughput optimization, and monitoring. • Research & Experimentation: Stay up-to-date with state-of-the-art LLM architectures and techniques, and evaluate their application for internal use cases.Stakeholder Collaboration: Collaborate with product, data, and engineering teams to translate business problems into LLM-powered solutions and communicate model limitations or trade-offs effectively.   Requirements: • Minimum 2 years of hands-on data science or software engineering experience • We have a strong focus on Copilot Studio and Power Platforms for this role. • Deep understanding of with LLMs, agents and foundation models • Familiarity with enterprise applications like SAP, SFDC and their AI offerings • Proficiency in Python and CI/CD practices • Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines • Experience with MLOps, cloud infrastructure (AWS/GCP/Azure), and model deployment tools for LLM-based systems. English - min B2   What we offer: • Deep understanding of the domain knowledge in the field of molecular biology and biotechnology • Exposure and hands on experience in the development of modern cloud data solutions • Ability to deliver AI and ML solutions at scale • Opportunity to work in an experienced and engaged team consisting of Data Engineers, Data Scientists, Machine Learning Engineers and stakeholders from different business domains