AI Engineer
Experience : 2–6 years
Location : Pune / Hyderabad / Bengaluru - Work from office
Employment Type : C2H / Full-time
About Vivanet
At 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 Role
As 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 Responsibilities
- Design 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 Skills
Strong 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-Have
Experience 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.