Machine Learning Engineer - Agentic AI

What you'll do

• Design and implement agentic systems that integrate large language models, tools, and data into cohesive workflows.
• Develop infrastructure to evaluate and enhance the performance of agentic systems in production.
• Build monitoring and observability systems for agentic workflows to ensure reliability and cost-effectiveness.
• Integrate LLMs with internal and external tools to enable context retrieval and API execution within end-to-end workflows.
• Collaborate on translating product requirements into scalable agentic systems, focusing on continuous improvement through iteration.

What we're looking for

• Proven knowledge of cutting-edge agentic systems and experience designing and shipping them in production.
• Strong proficiency with large language model-assisted coding for complex system development.
• Ability to design end-to-end agentic systems, making architectural decisions across multiple components.
• Demonstrated track record of building and shipping agentic or LLM-based products with visible portfolio contributions.
• Experience developing and deploying computer vision and machine learning systems in production environments.
• Strong system design experience, including defining architecture for complex multi-component systems.