AI Engineer
6 days ago
AI EngineerExperience: 2–6 yearsLocation: Pune/Hyderabad/Bengaluru - Work from officeEmployment Type: C2H/Full-timeAbout VivanetAt Vivanet, we’re building intelligent, reliable, and future-ready technology solutions that help businesses stay ahead in an AI-driven world. With over two decades of experience in technology, leadership, and innovation, we’re now focused on harnessing the power of Agentic AI to solve real-world challenges — blending human insight with intelligent automation.We’re looking for an AI Engineer who’s excited by the idea of turning AI research and frameworks into scalable, production-grade systems that make a measurable difference.About the RoleAs an AI Engineer at Vivanet, you’ll be part of a high-impact team working on advanced Agentic AI systems and AI-powered products. You’ll design and implement reasoning-driven, context-aware AI workflows using modern frameworks like LangChain and LangGraph, and help us extend our ecosystem with MCP (Model Context Protocol) integrations.This is a hands-on role where you’ll blend your skills in AI engineering, software design, and problem solving to create solutions that are intelligent, reliable, and enterprise-ready.Key ResponsibilitiesDesign and develop Agentic AI systems capable of reasoning, planning, and executing complex tasks autonomously.Build and optimize AI pipelines using LangChain, LangGraph, and related frameworks for context management, memory, and orchestration.Work with MCP (Model Context Protocol) to establish structured context sharing and inter-agent communication.Integrate AI components into scalable APIs and backend systems for enterprise deployment.Collaborate with product and engineering teams to design end-to-end intelligent workflows aligned with business objectives.Evaluate and integrate new frameworks, models, and tools to enhance solution performance and adaptability.Required SkillsStrong proficiency in Python and hands-on experience with AI frameworks like LangChain, LangGraph, LlamaIndex, PyTorch, Transformers, or FastAPI.Working knowledge of Agentic AI architectures, including multi-agent collaboration, reasoning, and tool-use systems.Familiarity with MCP (Model Context Protocol) and structured context handling.Experience in RAG (Retrieval-Augmented Generation) pipelines and vector databases (Pinecone, FAISS, Milvus).Solid grounding in data structures, algorithms, and software design principles.Strong debugging, performance optimization, and communication skills.Desired / Nice-to-HaveExperience with Java, especially for backend or microservice integration.Exposure to knowledge graphs, function calling, and multi-agent orchestration.Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).Understanding of DevOps – CI/CD for models, deployment automation, and monitoring.
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