Agentic Ai (FullStack)

Required Skills & Experience • 6–8 years of experience in backend or data engineering. • Strong hands-on experience building scalable distributed systems. • Proficiency in Java (preferred) or other backend languages (Python, Scala, Go). • Solid fundamentals in: o Data engineering (batch & streaming pipelines) o Distributed systems and microservices o APIs, messaging, and event-driven architectures • Practical exposure to LLMs and AI-driven systems. • Experience across end-to-end SDLC, including CI/CD and production operations. • Strong problem-solving and system design skills. Good to Have • Exposure to Agentic AI concepts or frameworks (LangChain, LangGraph, LlamaIndex, AutoGen, etc.). • Experience with public cloud platforms (AWS, GCP, Azure). • Knowledge of vector databases, embeddings, and retrieval pipelines. • Experience with Kubernetes and cloud-native stacks. • Prior work on data platforms, AI platforms, or internal PaaS.

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