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Niche agentic AI skillset and senior requirement reduce applicant density despite strong AI hiring demand.
Specialized agentic AI and LLM framework expertise limits transferability across non-AI roles.
Explicit 7+ years, required Python backend, LLM frameworks, and cloud experience create strict shortlisting filters.
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Lead design and deployment of agentic AI solutions and intelligent agent workflows using Python and frameworks like Langchain and Langgraph.
Build and maintain scalable backend systems integrated with Large Language Models (LLMs) via APIs for production use.
Drive architectural decisions and collaborate with cross-functional teams to deliver production-ready AI agent systems.
7+ years of backend development experience in Python.
Experience with agentic AI frameworks and vector databases.
Strong understanding of LLMs and cloud deployment on AWS, Azure, or GCP.
Familiarity with Langchain, continuous integration/deployment (CI/CD), and Git version control.
Experienced in designing and deploying scalable, production-grade AI systems involving intelligent agents and multi-agent workflows.
Comfortable working with advanced AI tooling ecosystems such as Langchain, Autogen, and agent orchestration frameworks.
Skilled in cloud-native development and operational best practices including containerization and MLOps concepts.