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Mid-level generalist title, 3–8 years range, and broad LLM/cloud skillset increase candidate competition.
Role requires specific Generative AI, agentic agent, and LLM engineering experience, reducing cross-industry transferability.
Explicit 3–8 years overall and 2+ years Generative AI plus mandatory tech stack tighten filters.
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Design, develop, and deploy AI agents, copilots, and autonomous workflows using frameworks like LangChain, LangGraph, CrewAI, AutoGen, and Google ADK.
Build RAG solutions, semantic search capabilities, and enterprise knowledge assistants integrated with business applications, APIs, databases, and enterprise systems.
Package, deploy, and monitor AI applications in cloud environments; contribute reusable frameworks and AI engineering best practices.
3–8 years of overall software engineering experience.
Minimum 2 years of hands-on experience in Generative AI, Agentic AI, or LLM-based application development.
Bachelor of Technology degree required.
Strong proficiency in Python, experience with REST APIs, FastAPI or Flask, and cloud deployment using Docker on Azure, AWS, or GCP.
Hands-on AI Engineer with minimum 2 years experience building AI agents, copilots, and RAG-based solutions using modern agent frameworks and LLM technologies.
Strong software engineering fundamentals combined with experience integrating AI solutions into enterprise production environments.
Effective communicator and collaborator skilled at influencing stakeholders and driving cross-functional AI innovation.