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Mid-level generative-AI role with hybrid work at a recognizable brand, broad applicant pool and metro hiring.
Specialized LLM and enterprise integration skills favor AI-engineering backgrounds, reducing cross-industry transferability.
Explicit 6–8 years requirement plus mandatory Python and LLM/agent expertise enforces high shortlisting strictness.
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Lead design, architecture, and deployment of AI agents using frameworks like LangGraph and LLM APIs such as OpenAI API to tackle enterprise challenges.
Architect and manage automation script development guardrails ensuring seamless integration with existing enterprise systems.
Collaborate with technical leadership to shape AI strategy and identify high-impact AI use cases aligned with organizational goals.
6 to 8 years of experience in software engineering, system architecture, or backend development.
1 to 2 years of hands-on experience in AI development, Large Language Model integration, and generative AI applications.
Expert programming skills in Python, with knowledge of AI, data processing, and automation modules.
Proven experience with LLM tools and frameworks such as LangChain, LangGraph, and OpenAI ecosystem.
Senior-level professional with a blend of traditional software engineering and advanced AI application development expertise.
Experienced in enterprise system architecture, API integration, and secure deployments.
Capable of articulating complex technical AI concepts and workflows clearly for leadership and cross-functional teams.