Looking for a developer to build AI Agent systems. Must have hands on experience of AI Agent frameworks like Langgraph/Agno/Google ADK. Must know how to use and build MCP servers and connect agents to the MCP servers.
Build agentic reasoning capabilities in TypeScript (LangGraph). Integrate AI behaviors into the Flux web app (React/Redux) and Chat UI. Instrument telemetry and logging for runtime health, performance, and cost tracking. Collaborate with product and electrical engineers to shape intelligent ECAD workflows. Build and analyze evals; translate data into engineering decisions. Actively shape agentic patterns, conventions, and best practices for the broader engineering org.
Building sophisticated agents from scratch using whatever technology gets the job done, designing multi-agent systems that communicate and collaborate, developing and integrating Model Context Protocols (MCP) that elevate agents' capabilities, and identifying and obliterating inefficiencies in workflows through intelligent automation.
We’re seeking a Machine Learning Engineer who thrives at the intersection of software development and applied ML. The person in this role will update and extend AI-powered features across multiple pipelines, with a focus on building conversational agents and multi-agent systems, applying their software development experience in code optimization and application development.