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 skilledGenAI Engineerwith 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.Design, build, and deploy end‑to‑end Generative AI and agentic AI solutions for real‑world use cases.Develop and orchestrate multi‑agent workflows usingLangGraph ,MCP (Model Context Protocol) , andA2A (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.Applyreinforcement learningapproaches to optimize agent behavior, decision‑making, and long‑horizon tasks.Design and execute rigorousexperimentation frameworks , including offline/online evaluations, A/B testing, and metric‑driven improvements.Implement robust strategies forhallucination reduction , such as retrieval augmentation, grounding, validation layers, confidence scoring, and self‑reflection mechanisms.Collaborate with data engineers, product managers, and platform teams to integrate GenAI solutions into production systems.Monitor, evaluate, and continuously improve model performance, reliability, latency, and cost.Stay up to date with the latest research and advancements in GenAI, agentic systems, and model alignment.Required Qualifications5+ years of industry experiencein software engineering, machine learning, or AI‑focused roles.Strong hands‑on experience withLangGraphand building agentic workflows.Practical experience withMCP (Model Context Protocol)andA2A (Agent‑to‑Agent)system design.Proven experience infine‑tuning LLMs , including supervised fine‑tuning and reinforcement learning‑based methods.Solid understanding and application ofreinforcement learningconcepts in production or research settings.Strong background inexperimental design , model evaluation, and statistical analysis.Demonstrated ability to reduce hallucinations using techniques beyond creative prompting.Proficiency in Python and experience with modern ML/AI frameworks.Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast‑growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.#J-18808-Ljbffr