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Tier-1 employer, metro location and early-mid ML role increases candidate competition.
LLM and AI agent skills are transferable across industries but require ML-specific expertise.
Explicit 2–5 years and required LLM frameworks, Python/JavaScript create moderate hiring filters.
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Develop and deploy Agentic AI solutions using Large Language Models (LLMs) that enable autonomous decision-making and task execution across enterprise workflows.
Integrate AI agents with enterprise systems including APIs, databases, ticketing tools, CRM, and ERP, supporting automation and workflow optimization.
Maintain technical documentation, participate in testing and validation, and collaborate with cross-functional teams to improve AI agent performance under enterprise security and compliance standards.
Bachelor’s degree in Computer Science, Information Technology, AI, or related field.
2-5 years of experience including internships or academic projects; work experience beyond internships not explicitly required.
Proficiency in Python or JavaScript and foundational understanding of LLMs and AI concepts.
Familiarity with agentic frameworks (LangChain, LlamaIndex, AutoGen, or CrewAI), basic experience with REST APIs and structured data (JSON).
Early-career professional with practical experience or academic projects in AI and automation focused on enterprise-grade systems.
Capability to design and build scalable automation reducing manual effort in regulated, security-conscious environments.
Effective communicator comfortable participating in global cross-functional teams and maintaining detailed technical documentation.