Ready to shape the future of work?
At Genpact, we don't just adapt to change--we drive it. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges.
If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that's shaping the future, this is your moment.
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.
Inviting applications for the role of Principal Consultant, Gen_AI Engineer with MCP server expertise!
In this role, we are looking for candidates who have relevant years of experience in designing and developing machine learning and deep learning system. Who have professional software development experience. Hands on running machine learning tests and experiments. Implementing appropriate AI engineers with GenAI.
Responsibilities
Design and implement GenAI-powered workflows, including agentic architectures, tool-enabled agents, and multi-step orchestration pipelines.
Implement AI systems leveraging MCP Server paradigms for tool augmentation, secure capability exposure, and modular AI application design
Design and implement GenAI-powered workflows, including agentic architectures, tool-enabled agents, and multi-step orchestration pipelines.
Build and optimize RAG pipelines (indexing, retrieval, embeddings, vector databases) to enhance the performance and reliability of LLM applications.
Develop and deploy AI solutions using LLMs and SLMs, enabling capabilities such as summarization, reasoning, text generation, Q&A, classification, and autonomous decision-making
Experience in AI/ML Architecture .
Excellent knowledge on Python
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