Company Name: VARITE India Private Limited

About The Client:

Niveus Solutions, an award-winning cloud engineering services organization & Google Cloud Partner, empowers enterprises to harness the power of cloud services and build resilient infrastructures that scale. Niveus specializes in application, infrastructure, & data modernization, data management, cloud consulting, security, & managed services.
Essential Job Functions:
- Develop and deploy scalable Generative AI and LLM-based solutions on Azure or GCP or AWS.
- Agentic AI Development: Design, build, and deploy agentic AI systems using frameworks such as LangChain, LangGraph, and related libraries. Develop and deploy multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration.
- RAG Pipelines: Implement and optimize retrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses.
- Integrate AI models with business applications and build scalable APIs (e.g., FastAPI, Flask) and microservices.




- Lead the development of enterprise-grade AI platforms integrating LLMs, RAG, embeddings, and agentic AI protocols.
- Implement and standardize Model Context Protocol (MCP) for consistent context management across models and agents.

Qualifications:
- Experience: 5.1 Years to 8 Years

Skill Set
- Generative AI
- Cloud Platform (GCP)
- Machine Learning
- Python
- TensorFlow/PyTorch

Required Skills & Qualifications
- Programming: Strong proficiency in Python is mandatory, including OOP concepts and best coding practices.
- Cloud Expertise: Delivered Gen AI or ML projects in cloud (AWS/GCP/Azure).
- AI Frameworks: Familiarity with LLM frameworks and libraries such as Google ADK, LangChain, LlamaIndex, or similar frameworks.
- AI Techniques: Solid understanding of RAG architectures, prompt engineering, model optimization, and performance evaluation methodologies.
- Infrastructure: Experience with ML

📌 Cloud Specialist (Bengaluru)
🏢 VARITE
📍 Bengaluru