GenAI Engineer

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI. We are looking for a highly skilled GenAI Engineer with strong hands-on experience in building, evaluating, and deploying advanced Generative AI systems. The ideal candidate will have deep expertise in agentic frameworks, model fine-tuning, and reinforcement learning, along with a strong focus on experimentation, reliability, and hallucination mitigation beyond prompt engineering. Requirements Design, build, and deploy end-to-end Generative AI and agentic AI solutions for real-world use cases. Develop and orchestrate multi-agent workflows using LangGraph , MCP (Model Context Protocol) , and A2A (Agent-to-Agent) communication patterns. Fine-tune large language models (LLMs) using supervised fine-tuning (SFT), RLHF, and other advanced techniques to improve task performance and alignment. Apply reinforcement learning approaches to optimize agent behavior, decision-making, and long-horizon tasks. Design and execute rigorous experimentation frameworks , including offline/online evaluations, A/B testing, an