Job Description
📋 Description Collaborate with product, data, and engineering to integrate AI features into UX. Build and maintain scalable ML pipelines balancing speed, security, and scalability. Build and optimize LLM-powered features for query generation, summaries, and data exploration. Design and implement prompt engineering strategies and evaluation frameworks. Fine-tune LLMs or custom architectures for performance and cost efficiency. Stay up-to-date with research and apply state-of-the-art techniques. 🎯 Requirements 5+ years of software engineering with ML/AI. Strong proficiency in Python. Proficiency with NumPy, Pandas, and Scikit-learn. Prompt engineering and evaluation frameworks. LLM/GenAI production experience. Experience designing/consuming REST/GraphQL APIs and deploying with Docker/Kubernetes. English C1 and clear communication. Degree in Computer Science, Mathematics, or related field.