Senior Lead Machine Learning Engineer - AI Agents

Proven experience designing and deploying agent architectures, protocols, or LLM-powered workflows in production environments Strong engineering foundation with expertise in Python and Agent frameworks (e.g., LangChain, Autogen) and protocols (e.g., MCP, A2A) Demonstrated success building developer platforms, APIs, SDKs, tools, or frameworks focusing on usability, extensibility, and developer support Familiarity with developer relations or solutions engineering, including documentation, demos, and consultative technical work Growth mindset, strong communication skills, and an inclusive approach to leadership

Architect and implement scalable infrastructure to support LLM-based Agentic systems Design APIs, SDKs, and internal tooling to accelerate productivity through AI agent adoption Drive developer advocacy by partnering to produce technical content, samples, and reference architectures Partner with cross-functional stakeholders to align technical solutions with product strategy Provide consulting and hands-on support to teams integrating with our agentic marketplace Contribute to AI/ML research initiatives where applicable