Agentic AI

About Us

Capco a Wipro company is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe we support 100 clients acrossbanking financial and Energy sectors. We are recognized for our deep transformation execution and delivery.

WHY JOIN CAPCO

You will work on engaging projects with the largest international and local banks insurance companies payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant open culture that values diversity inclusivity and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco everyone has the opportunity to grow as we grow taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT

We are seeking a highly or Python Developer with expertise in Artificial Intelligence Retrieval-Augmented Generation (RAG) integration and Model Context Protocol (MCP). The candidate will be responsible for developing scalable applications building intelligent search and conversational systems and enabling seamless interaction between enterprise systems and LLMs using RAG MCP pipelines.

Key Responsibilities:

• Design develop and maintain applications in .NET (C#) or Python.
• Implement RAG pipelines by integrating LLMs (OpenAI Azure OpenAI Hugging Face LangChain LlamaIndex etc.) with enterprise and external data sources.
• Develop MCP-based integrations to connect tools APIs and enterprise data systems with LLMs.
• Build APIs and microservices for AI-powered search summarization and conversational AI.
• Create document ingestion pipelines (PDFs databases SharePoint etc.) and manage embeddings with vector databases (Pinecone Weaviate FAISS Qdrant Azure Cognitive Search etc.).
• Collaborate with AI engineers architects and data teams to ensure scalable deployment of RAG/MCP solutions.
• Optimize application performance security and scalability for production-grade AI systems.
• Stay updated with AI frameworks MCP standards and cloud AI services.

Required Skills & Experience:

• Minimum of 8 years of IT experience with 1 years of AI experience
• Strong hands-on experience in .NET (C#) or Python.
• Solid understanding of OOP REST APIs and microservices architecture.
• Proven experience with LLM-based applications and RAG (Retrieval-Augmented Generation) integration.
• Knowledge and practical implementation of Model Context Protocol (MCP) for AI tool orchestration.
• Familiarity with vector databases (FAISS Pinecone Weaviate Qdrant Azure Cognitive Search).
• Hands-on experience with LangChain LlamaIndex Hugging Face Transformers or similar AI libraries.
• Strong problem-solving and cross-functional collaboration skills.

Good to Have:

• Experience with containerization (Docker Kubernetes).
• Experience with cloud AI services (Azure AWS GCP) for deployment and scaling.
• Exposure to SQL/NoSQL databases for structured and unstructured data.
• Prior experience in chatbot development enterprise search or knowledge management systems.
• Understanding of MLOps practices for AI model deployment and monitoring.