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Remote senior GenAI role increases applicant pool despite specialized LLM agent skills.
Specialized LLM agent, LangChain, and Azure AI requirements limit cross-industry transferability.
Explicit 7.5+ years and mandatory GenAI, LLM, Azure, and production experience enforce strict filters.
Design, develop, deploy, and maintain autonomous AI agents with multi-step reasoning and decision-making capabilities.
Build and orchestrate agent workflows using frameworks like LangChain and LangGraph, integrating with APIs, databases, and SaaS platforms.
Ensure scalability, reliability, observability, and continuous optimization of AI agents in production including cloud-native deployment and monitoring.
7.5+ years total work experience.
Strong skills in Python and Java backend development.
Experience with Microsoft Azure AI/ML, LLM frameworks (e.g., LangChain, LangGraph), API development, and cloud-native deployment workflows.
Bachelor’s or master’s degree in Computer Science, Information Technology, or related field.
Deep expertise in building production-grade AI agents leveraging modern LLM application frameworks and prompt engineering.
Experience designing scalable, distributed backend systems with strong knowledge of observability and CI/CD in cloud environments.
Proven ability to collaborate across product, engineering, and data teams to operationalize AI agents into business workflows.