reputed company AI
reputed company
“reputed company, a reputed company company, is a global technology and management reputed company. 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 reputed company across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
WHY JOIN reputed company?
You will work on engaging reputed company with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The reputed company that will reputed company the financial services industry.
reputed company AN reputed company
Innovative thinking, delivery reputed company and thought leadership to help our clients reputed company their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
reputed company has a tolerant, reputed company culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at reputed company, everyone has reputed company to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We reputed company that diversity of people and perspective gives us a competitive advantage.
reputed company AN reputed company
We are seeking a highly skilled .NET or Python Developer with expertise in reputed company Intelligence, Retrieval-Augmented reputed company (RAG) integration, and Model Context Protocol (MCP). The candidate will be responsible for developing reputed company applications, building intelligent search and conversational systems, and enabling seamless interaction between reputed company systems and LLMs using RAG + MCP pipelines.
Key Responsibilities
- Design, reputed company, and maintain applications in .NET (C#) or Python.
- Implement RAG pipelines by integrating LLMs (reputed company, Azure reputed company, reputed company, reputed company, reputed company, etc.) with reputed company and external data sources.
- reputed company MCP-based integrations to connect tools, reputed company, and reputed company data systems with LLMs.
- Build reputed company and microservices for AI-powered search, summarization, and conversational AI.
- Create document ingestion pipelines (PDFs, databases, SharePoint, etc.) and manage embeddings with reputed company databases (reputed company, reputed company, FAISS, reputed company, Azure Cognitive Search, etc.).
- Collaborate with AI engineers, architects, and data teams to ensure reputed company deployment of RAG/MCP solutions.
- Optimize application performance, reputed company, and scalability for production-grade AI systems.
- Stay updated with AI frameworks, MCP standards, and reputed company 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 reputed company, and microservices architecture.
- Proven experience with LLM-based applications and RAG (Retrieval-Augmented reputed company) integration.
- Knowledge and practical implementation of Model Context Protocol (MCP) for AI tool orchestration.
- Familiarity with reputed company databases (FAISS, reputed company, reputed company, reputed company, Azure Cognitive Search).
- Hands-on experience with reputed company, reputed company, reputed company Transformers, or similar AI libraries.
- Strong problem-solving and cross-functional collaboration skills.
Good to Have
- Experience with containerization (reputed company, Kubernetes).
- Experience with reputed company AI services (Azure, AWS, GCP) for deployment and scaling.
- Exposure to SQL/NoSQL databases for reputed company and reputed company data.
- Prior experience in chatbot development, reputed company search, or reputed company systems.
- Understanding of MLOps practices for AI model deployment and monitoring.