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Strong employer brand plus visible AI full-stack role yields moderate competition.
Requires specialized LLM/agent and full-stack expertise, so industry background matters significantly.
Explicit 10-14 years plus specific LLM, React, Python and AWS requirements make filters stringent.
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Lead and deliver end-to-end full-stack AI agent features including backend services and React/TypeScript UIs.
Drive technical decisions on agent behavior, tooling, and developer experience within a small team environment.
Mentor engineers and enforce code quality standards across the codebase.
10-14 years of software engineering experience with scaled production system delivery.
Hands-on experience with LLM application patterns including tool use, streaming, and multi-turn conversations.
Proficient in Python (async, testing, clean design) and Java; production React and TypeScript experience; AWS Lambda and API Gateway deployment experience.
Experience with MCP or agent frameworks; familiar with polyglot monorepos; active usage of AI coding tools (e.g. Copilot) during development.
Experienced in designing and leading AI agent architectures and full-stack feature development for complex systems.
Comfortable operating autonomously, driving trade-off discussions and mentoring within a small focused team.
Practices spec-driven or modern development workflows and engages with cutting-edge AI coding tools and practices regularly.