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Tier-1 brand, mid-level ML/AI role with broad LLM requirements increases candidate competition.
Specialized LLM and production AI skills transfer across industries, though enterprise customer-engineering domain knowledge matters.
Explicit 4+ years and mandatory LLM, agentic, production AI, and Python requirements create high shortlisting strictness.
Analyze and resolve complex customer-impacting engineering issues with AI-driven automation solutions.
Develop and deploy AI-powered tools, workflows, and agentic LLM solutions to diagnose, troubleshoot, and prevent customer problems.
Collaborate with internal teams to integrate AI capabilities into existing platforms and establish scalable AI patterns for customer engineering.
4+ years of experience in technical implementation or customer-facing roles involving configuration, integration, and deployment tasks.
Hands-on experience in LLM Application Development including prompt engineering and function/tool calling.
Experience building AI agentic workflows with frameworks like LangGraph or LangChain, and strong Python/software engineering skills for production AI deployment.
Working knowledge of enterprise software platforms, APIs, and integrations; ability to document solutions and communicate technical issues clearly in structured team environments.
Early-career professional skilled at translating defined requirements into practical technical solutions within structured, guided teams.
Experienced in production AI engineering with focus on reliability, latency, cost, and security metrics for AI workloads.
Comfortable working in environments requiring systematic testing and iterative improvement of LLM-based AI solutions in customer engineering contexts.