Machine Learning Engineer, Agentic AI

What you'll do

• Build systems that combine models, tools, and data into cohesive agentic workflows for multi-step tasks.
• Design system behaviors including planning, tool use, structured outputs, and failure handling.
• Develop infrastructure for evaluating and improving agentic system quality, reliability, and cost.
• Build monitoring and observability systems to track agent behavior in production environments.
• Integrate LLMs with internal and external tools to retrieve context and execute API actions.
• Translate product requirements into scalable agentic systems across the full software stack.
• Make architectural tradeoffs between latency, cost, accuracy, and controllability in LLM-driven approaches.

What we're looking for

• Proven knowledge of cutting-edge agentic systems.
• Demonstrated experience designing and shipping agentic systems in production environments.
• Strong proficiency with LLM-assisted coding to design, implement, and iterate on complex systems.
• Proven ability to design end-to-end systems and make architectural decisions across multiple components.
• Demonstrated track record of building and shipping agentic or LLM-based products with a visible portfolio or recognized contributions (preferred).
• Experience developing and deploying computer vision and machine learning systems in production environments (preferred).
• Strong system design experience defining and evolving architecture for complex, multi-component systems (preferred).
• Experience taking products from concept to launch, including delivering user-facing applications at scale (preferred).