**Introduction** IBM Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM’s AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM’s hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments—a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business. **Your role and responsibilities** * Develop AI-powered applications for text generation, image generation, code synthesis, and other generative tasks. * Build APIs and services to integrate LLMs and multimodal models into products. * Experiment with prompt engineering, retrieval-augmented generation (RAG), and reinforcement learning (RLHF) techniques. * Stay updated on the latest advancements in AI, deep learning, and generative models. * Designing, implementing and testing domain specific agents and workflows and a framework which can support multi-turn, multi-modal, multi-user conversations with LLM driven agents. * Analyze RAG and conversational AI agent end to end accuracy and limitations and recommend the next course of action & Improvements. * Characterize performance and quality metrics across platforms for various AI and system components * Collaborate with various teams on new product features and improvements of existing products. Customize and integrate the conversational AI frameworks. * Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews and help innovate, identify problems, recommend solutions and perform triage in a collaborative team environment. * Should be mentoring a group of engineers and guide them through challenges. **Required technical and professional expertise** * Strong Programming Skills: Proficiency in Python or golang and experience with AI frameworks. * Knowledge of RAG (Retrieval-Augmented Generation) and vector search. * Experience with LangChain, Hugging Face Transformers, and OpenAI API. * Understanding of multi-modal AI (text, image, audio, and video generation). * Experience working with RAG and LLM based applications as a key part of building Dialog and Q & A systems. * Additional exposure to LLM function calling, Information Retrieval, Vector Databases, Embedding and Rerank models, autonomous agents etc.is welcome. * Understanding of scalable deployment of multiple microservices involving Speech components, LLM driven RAG and Agent applications in production environment * Experience working with protocol and transports like HTTP REST, gRPC, Websockets, WebRTC, etc. * Hands on experience with building microservices and client-server applications. * Familiarity with Docker, helm, kubernetes etc. * Experience of working on end to end Software lifecycle, release packaging & CI/CD pipeline * General background around version control and code review tools like Git, Gerrit, Gitlab. * Experience with any of the cloud services and exposure to various search systems or no sql dbs **Preferred technical and professional experience** Ways To Stand Out From The Crowd * Strong fundamentals in Programming, Optimizations and Software design * Experience of working with open source frameworks like LangChain, LlamaIndex for building LLM driven applications * Strong knowledge of ML/DL techniques, algorithms and tools with exposure to Speech and Language Models