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Mid-level, metro role with broad full-stack plus specialized LLM/agent requirements increases applicant competition.
Strong ML/AI and agentic expertise requirement limits transferability across industries.
Explicit 5+ years requirement plus many mandatory LLM, LangChain, and full-stack skills makes filters strict.
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Design, develop, and deploy AI-powered applications with capabilities like reasoning, planning, tool utilization, and autonomous task execution.
Build and optimize AI Agents and multi-agent workflows focusing on business automation and next-generation enterprise solutions.
Implement advanced AI patterns including Retrieval-Augmented Generation (RAG), prompt engineering, and integrate AI agents with enterprise APIs, databases, and cloud platforms.
5+ years of professional software development experience.
Strong expertise in Node.js, Next.js, and Python.
Hands-on experience with LLM platforms such as OpenAI, Azure OpenAI, Claude, or Gemini and AI agent development frameworks like LangChain or similar.
Experience in building scalable backend services, RESTful APIs, microservices, and working knowledge of cloud platforms like AWS or Azure.
Experienced in developing scalable enterprise-grade AI solutions and automation platforms using modern full-stack technologies.
Proficient in prompt engineering, multi-agent orchestration, and advanced AI patterns indicating a deep strategic understanding of AI workflows.
Capable of leading technically complex AI applications with strong system design and integration skills across cloud, databases, and AI frameworks.