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Tier‑1 employer in Bangalore, mid-level role increases applicants, but specialized LLM skills reduce density.
Requires specialized LLM, agentic workflow and production AI experience, limiting cross-industry transferability.
Explicit 4+ years and mandatory LLM, agent frameworks, and production AI engineering skills create strict filters.
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Analyze and resolve complex customer engineering issues using AI-driven automation tools and workflows.
Develop and test large language model (LLM) based solutions integrated with engineering operations to improve troubleshooting and issue prevention.
Collaborate with internal teams to integrate AI capabilities into tools, measure performance using engineering metrics, and establish scalable AI patterns for customer engineering.
Minimum 4+ years of experience in a technical implementation or customer-facing engineering role.
Hands-on experience in LLM application development including prompt engineering and tool integration.
Strong Python/software engineering skills with experience in deploying and optimizing AI workloads for production.
Basic working knowledge of enterprise software platforms and APIs; ability to document solutions and escalate risks effectively.
Early-career professional with demonstrated ability to translate technical requirements into actionable tasks in configuration, integration, and deployment scenarios.
Experience building and maintaining AI agentic workflows using frameworks like LangChain or equivalent for production applications.
Comfortable working under structured guidance with clear technical communication in customer-facing environments and continuous professional skill development.