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Known analytics firm and metro location, but niche LLM skillset yields moderate applicant competition.
Specialized LLM and production AI skills are transferable, but require ML engineering background.
Explicit 4+ years plus mandatory LLM, agent, and production AI engineering skills enforce strict shortlisting.
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Analyze complex customer-impacting engineering issues to identify opportunities for AI-driven automation.
Build and integrate AI-powered tools and agentic workflows using LLMs to diagnose and prevent customer issues.
Develop, test, and optimize AI solutions and automation with metrics such as accuracy, resolution time, and cost, partnering with internal teams for scalable implementation.
4+ years of experience in technical implementation or customer-facing engineering roles.
Hands-on experience with LLM application development including prompt engineering and tool/function integration.
Strong Python/software engineering skills for deploying and optimizing AI workloads in production.
Experience building agentic AI workflows using frameworks like LangGraph, LangChain, or equivalents.
Early-career engineer comfortable executing under guidance within structured teams and clear processes.
Practical experience translating requirements into technical tasks across configuration, integration, and deployment scenarios.
Ability to document solutions, identify risks, and communicate progress effectively to internal and external stakeholders.