• Lead the architecture, design, and delivery of full-stack AI-powered solutions, from backend agent services to React/TypeScript user experiences.
• Design and develop LLM-powered agents, including tool calling, orchestration, streaming responses, and multi-turn conversational workflows.
• Build scalable backend services, APIs, and integrations that enable secure access to design and manufacturing data.
• Develop reusable React/TypeScript components and intuitive user experiences for AI-powered and data access workflows.
• Drive technical decisions across agent architecture, LLM integration, backend services, and cloud infrastructure.
• Ensure production readiness through robust testing, security, performance, reliability, and observability.
• Mentor engineers, establish engineering best practices, and own features from design through production.

Minimum Qualifications

• 10+ years of software engineering experience building and delivering large-scale production systems.
• Hands-on experience with LLM application patterns, including tool use, streaming responses, multi-turn conversations, and context/session management.
• Production experience with agent frameworks (e.g., Strands Agents, LangGraph, AutoGen) and/or protocols such as MCP or A2A.
• Strong proficiency in Python and/or Java, including async programming, testing, and building scalable backend services and REST/streaming APIs.
• Experience developing and deploying cloud-native applications on AWS (Lambda, API Gateway, IAM, Secrets Manager).
• Hands-on experience with React, TypeScript, and modern frontend development, including reusable components and data-driven user experiences.
• Strong understanding of software architecture, security, authorization, dependency resilience (retries, timeouts), observability, and production reliability.
• Experience working in large-scale or polyglot codebases and actively using AI coding tools (e.g., Claude Code, Cursor, Copilot).
  • Strong technical leadership, communication, and problem-solving skills, with the ability to drive architectural decisions and work autonomously.