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Popular AI/LLM role in a metro with broad cloud and integration requirements increases candidate competition.
AI and enterprise-integration skills are transferable but LLM production experience raises domain specificity.
Hands-on LLM, cloud, and production integration requirements create moderately strict technical filters for shortlisting.
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Collaborate with stakeholders to identify AI use cases and build prototypes combining AI, engineering, and business domains.
Develop and deliver production-grade AI solutions integrating LLMs, cloud platforms, APIs, and enterprise systems.
Drive end-to-end deployment and operationalization of AI applications in enterprise environments.
Hands-on experience with large language models (LLMs).
Proficiency in cloud platforms and API integration.
Experience with enterprise system integration.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in bridging AI technology with business requirements through engineering solutions.
Skilled in deploying scalable AI solutions in enterprise settings.
Able to manage end-to-end implementations involving LLMs and cloud infrastructure.