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Specialized agentic-LLM skillset and seniority at a lesser-known company creates moderate competition.
Strong ML/LLM and agentic-framework expertise limits cross-industry transferability.
Explicit 7+ years plus specialized agentic-LLM, vector DB and cloud requirements make screening stringent.
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Lead design and deployment of intelligent AI agents using Python and agentic AI frameworks.
Build scalable backends integrating large language models (LLMs) via APIs with tools like Langchain.
Drive architectural decisions and collaborate across teams for production-ready AI systems.
7+ years of backend development experience with Python.
Experience with agentic AI frameworks and vector databases.
Solid understanding of LLMs and cloud deployment on AWS, Azure, or GCP.
Familiarity with Langchain, CI/CD pipelines, and Git version control.
Experienced in building scalable AI agent workflows and production-grade backend systems.
Comfortable driving cross-team collaboration and architectural design decisions.
Knowledgeable about multi-agent systems, prompt engineering, containerization, and MLOps for operational AI solutions.