AI Engineer

3 weeks ago

New Delhi, India Vivanet Full time

AI EngineerExperience:2–6 years Location:Pune/Hyderabad/Bengaluru - Work from office Employment Type:C2H/Full-timeAbout VivanetAtVivanet , 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 onharnessing the power of Agentic AIto solve real-world challenges — blending human insight with intelligent automation. We’re looking for anAI Engineerwho’s excited by the idea of turning AI research and frameworks into scalable, production-grade systems that make a measurable difference.About the RoleAs anAI Engineer at Vivanet , you’ll be part of a high-impact team working on advancedAgentic AI systemsandAI-powered products . You’ll design and implement reasoning-driven, context-aware AI workflows using modern frameworks likeLangChainandLangGraph , and help us extend our ecosystem withMCP (Model Context Protocol)integrations. This is a hands-on role where you’ll blend your skills inAI engineering, software design, and problem solvingto create solutions that are intelligent, reliable, and enterprise-ready.Key ResponsibilitiesDesign and developAgentic AI systemscapable of reasoning, planning, and executing complex tasks autonomously. Build and optimize AI pipelines usingLangChain ,LangGraph , and related frameworks for context management, memory, and orchestration. Work withMCP (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 designend-to-end intelligent workflowsaligned with business objectives. Evaluate and integrate new frameworks, models, and tools to enhance solution performance and adaptability.Required SkillsStrong proficiency inPythonand hands-on experience with AI frameworks likeLangChain ,LangGraph ,LlamaIndex ,PyTorch ,Transformers , orFastAPI . Working knowledge ofAgentic AI architectures , including multi-agent collaboration, reasoning, and tool-use systems. Familiarity withMCP (Model Context Protocol)and structured context handling. Experience inRAG (Retrieval-Augmented Generation)pipelines andvector databases(Pinecone, FAISS, Milvus). Solid grounding indata structures, algorithms , andsoftware design principles . Strong debugging, performance optimization, and communication skills.Desired / Nice-to-HaveExperience withJava , especially for backend or microservice integration. Exposure toknowledge graphs ,function calling , andmulti-agent orchestration . Familiarity withcloud platforms(AWS, GCP, Azure) andcontainerization(Docker, Kubernetes). Understanding ofDevOps– CI/CD for models, deployment automation, and monitoring.

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