Engineering Manager, Agentic AI

What you'll do

• Lead a team to develop core libraries and reusable building blocks for agentic applications.
• Identify gaps in current agent architectures and translate insights into tools that improve developer velocity and quality.
• Provide technical guidance and mentorship to engineers while fostering an inclusive team environment.
• Manage the full development lifecycle from initial ideation through to final deployment.
• Integrate high-performance data pipelines, RAG systems, vector databases, and GPU-optimized training workflows.
• Track evolving agent development patterns across research and commercial products to inform technical strategy.
• Partner with product management to define project requirements and prioritize engineering tasks.
• Standardize procedures and scale the adoption of agent libraries across multi-functional teams.

What we're looking for

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Applied Math, or a related field, or equivalent experience.
• Overall experience including in team management.
• Proven track record in designing and deploying modern agent architectures and open-source frameworks for production-grade solutions.
• Demonstrated strategic vision to translate the evolving AI domain into platform roadmaps and high-value technical outcomes.
• Exceptional communication and cross-functional leadership skills with a history of contributing to the open-source community.
• Experience building evaluation/benchmarking systems for agent workflows (preferred).
• Experience leading a team that delivered reliable, scalable enterprise-grade agents to customers or across an organization (preferred).
• Experience implementing enterprise-grade governance, such as observability and monitoring, for production autonomous workflows (preferred).