The client is looking to build and scale advanced AI-powered solutions leveraging Generative AI technologies. The project focuses on designing and implementing intelligent systems using LLMs and agentic workflows to enhance business processes and deliver high-impact, scalable products.General information They are seeking a senior-level AI Engineer with strong experience in Generative AI and system architecture. The ideal candidate will play a key role in designing, developing, and deploying scalable GenAI solutions, including Retrieval-Augmented Generation (RAG) systems and multi-agent architectures. This role requires both hands-on technical expertise and the ability to collaborate effectively with product, engineering, and business stakeholders.Task and Deliverables Collaborate with cross-functional teams to gather requirements and translate them into technical solutions Design and implement GenAI-based systems (LLMs, RAG pipelines, prompt engineering, fine-tuning) Build and orchestrate agentic workflows, including multi-agent systems and tool integrations Develop scalable APIs and microservices to support AI-driven applications Contribute to overall system architecture, including cloud-based integrations (AWS and/or Azure) Establish evaluation frameworks to measure performance (accuracy, latency, cost) Continuously optimize models and systems through feedback loops and iteration Provide regular updates to stakeholders on progress, risks, and deliverablesRequired Experience Proven hands-on experience with Generative AI technologies (LLMs, embeddings, RAG, prompt engineering) Solid understanding of AI system architecture and cloud platforms (AWS and/or Azure) Working knowledge of Python and relevant AI/ML frameworks Experience with API integration, microservices, and scalable system design Strong communication skills and experience working with global stakeholdersHighlights Long term (12+ monthts) 40 hrs/week