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Mid-level Bangalore AI role with broad LLM/agent requirements increases applicant competition.
Role requires specialized LLM, agentic AI, and cloud deployment experience, limiting cross-industry portability.
Explicit years and mandatory LLM, agentic, and cloud deployment skills make shortlisting stringent.
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Build and deliver production-grade multi-agent AI systems integrated with enterprise workflows using LangGraph, LangChain, and multiple LLMs (GPT, Claude, LLaMA).
Develop and maintain robust REST APIs, WebSocket services, event-driven pipelines for real-time AI applications ensuring stability under production load.
Lead deployment, automation, and CI/CD operations using Jenkins and cloud AI platforms to enable scalable, secure enterprise-grade AI agentic applications.
3-5 years of experience in Machine Learning, AI, or related field with delivered production systems.
At least 1 year of experience building custom Agentic AI applications using LLMs and prompt engineering.
Strong Python programming skills and experience with LangGraph, REST APIs, WebSockets, Jenkins CI/CD, Git, and cloud AI platforms (e.g. Azure AI Foundry, AWS Bedrock, Google Gemini Enterprise).
Work Experience Required: 3-5 years specified. Notice Period: Not explicitly mentioned in the JD.
Experienced engineer comfortable building and deploying large-scale, multi-agent AI systems with production reliability and security focus.
Strong working knowledge of enterprise cloud AI deployment and integration with existing systems and data sources.
Skilled in prompt engineering, AI-augmented development tools, and collaborating cross-functionally with platform, security, and product teams.