Senior AI Research Engineer - Agents Team

Responsibilities

• Experiment & Build: Design, set up, and execute experiments focusing on LLMs, Agentic AI, model fine-tuning, and broader ML systems.
• Algorithmic Debugging: Actively investigate why a model isn’t converging, why outputs are inconsistent, or why results are unreliable across different ML architectures.
• Code Quality: Write clean, modular code (effective use of classes, functions, and documentation) following strict software engineering best practices.
• Autonomous Delivery: Deliver projects with a high degree of autonomy.

Requirements

• A Master's degree (required) in a highly technical and quantitative field such as Mathematics, Physics, Engineering, Computer Science, or a rigorous double degree.
• You have zero gaps in your machine learning fundamentals.
• Extensive, highly proficient experience with Python and SQL.
• Strong track record working with Language Models, Agentic AI workflows, and deep expertise in model fine-tuning (experience with Knowledge Graphs is a plus).
• Highly capable of deploying solutions into production environments using tools like Docker and other containerization technologies.
• You are exceptionally smart, highly autonomous, and thrive in ambiguity.
• You can present complex research results clearly to both highly technical peers and non-technical business stakeholders.