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Mid competition due to reputable company and mid-level AI role, offset by niche LangGraph requirement.
Low because core AI, backend, and cloud skills are readily transferable across industries.
High due to explicit 3+ years requirement and non-negotiable 2+ years LangGraph experience.
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Lead design, development, and production deployment of AI agents and workflows (support automation, voice, onboarding) using agentic frameworks like LangGraph.
Develop and maintain backend applications primarily in Python and Java/GoLang, contributing to ~75-80% backend and ~20-25% frontend code.
Collaborate cross-functionally to integrate backend with frontend, perform code reviews, troubleshoot production issues, and manage deployments on Kubernetes.
3+ years as a Backend/Software Developer with hands-on exposure to AI/agentic systems (deep AI expertise not required).
Mandatory: Strong proficiency in Python; proficiency in Java or GoLang.
At least 2 years of hands-on experience with LangGraph or similar agentic frameworks (non-negotiable).
Experience with databases (PostgreSQL, MySQL, MongoDB), front-end tech (React), RESTful APIs, Kubernetes, and full Agile SDLC.
Experienced in building and scaling backend AI agent workflows in production environments.
Technical hands-on with agentic frameworks and comfortable working end-to-end across backend and partial frontend.
Capable of collaborating with US-based teams and customers to drive innovation in AI-driven supply chain logistics.