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.

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