Principal Scientist - Generative AI & NLP

Job Description : We are seeking a Principal Scientist Generative AI & NLP to lead our research and development efforts in cutting-edge AI technologies, including Large Language Models (LLMs), multimodal AI, and agentic systems. This role is ideal for a seasoned AI researcher and technologist with a strong publication record, deep algorithmic expertise, and hands-on experience in building and optimizing large-scale AI systems under real-world constraints. You will play a pivotal role in setting the research direction, leading high-impact publications, and driving the development of scalable, production-ready AI solutions that power next-generation products.Key Responsibilities : 1. Research Leadership : - Define and drive the research roadmap in LLMs, multimodal AI, and Generative AI.- Lead the authoring and publication of top-tier research papers (e.g., NeurIPS, ICML, ACL, CVPR).- Stay at the forefront of AI advancements and translate research into practical, scalable solutions.2. Algorithm & System Design : - Design and optimize novel algorithms for generative modeling, NLP, and agentic AI under system and compute constraints.- Lead the development of high-performance training pipelines for large-scale models, including distributed training and inference optimization.3. Product & Platform Development : - Architect and implement end-to-end GenAI systems, including prompt orchestration, retrieval-augmented generation (RAG), and agentic workflows.- Collaborate with engineering, product, and data science teams to integrate AI solutions into production environments.- Build and maintain highly scalable backend microservices and real-time inference systems on cloud platforms (AWS, GCP, Azure).4. Mentorship & Collaboration : - Mentor junior scientists / engineers in GenAI best practices and research methodologies.- Work cross-functionally to align AI initiatives with business goals and customer needs.Required Qualifications : - Ph.D. or Masters in Computer Science, Machine Learning, Mathematics, Computational Linguistics, or a related field.- 10-15 years of industry and/or academic experience in AI/ML, with 7+ years in NLP and Generative AI.- Demonstrated leadership in publishing top-tier research such as NeuralIPS, ICLR, ICML, AAAI, and CVPR in LLMs, multimodal models, or related areas.- Proven experience in large-scale model training, optimization, and deployment.- Expertise in Python, with proficiency in frameworks such as Hugging Face Transformers, TensorFlow, PyTorch, Keras, JAX.- Deep understanding of LLMs, multimodal AI, embedding models, vector databases, and agentic AI.- Experience with MLOps/LLMOps tools (e.g., MLflow, Weights & Biases, DVC, SageMaker, Vertex AI).- Strong system design skills, including distributed systems, data pipelines, and API development.Education : - PG : M.Tech in Artificial Intelligence and Machine Learning, Computers- Doctorate : Ph.D/Doctorate in Any SpecializationKey Skills : - Large Language Model, Artificial Intelligence, Natural Language Processing, Machine Learning, agentic workflows, multimodal AI, Retrieval Augmented Generation (ref:hirist.tech) Job Description : We are seeking a Principal Scientist Generative AI & NLP to lead our research and development efforts in cutting-edge AI technologies, including Large Language Models (LLMs), multimodal AI, and agentic systems. This role is ideal for a seasoned AI researcher and technologist with a strong publication record, deep algorithmic expertise, and hands-on experience in building and optimizing large-scale AI systems under real-world constraints. You will play a pivotal role in setting the research direction, leading high-impact publications, and driving the development of scalable, production-ready AI solutions that power next-generation products.Key Responsibilities : 1. Research Leadership : - Define and drive the research roadmap in LLMs, multimodal AI, and Generative AI.- Lead the authoring and publication of top-tier research papers (e.g., NeurIPS, ICML, ACL, CVPR).- Stay at the forefront of AI advancements and translate research into practical, scalable solutions.2. Algorithm & System Design : - Design and optimize novel algorithms for generative modeling, NLP, and agentic AI under system and compute constraints.- Lead the development of high-performance training pipelines for large-scale models, including distributed training and inference optimization.3. Product & Platform Development : - Architect and implement end-to-end GenAI systems, including prompt orchestration, retrieval-augmented generation (RAG), and agentic workflows.- Collaborate with engineering, product, and data science teams to integrate AI solutions into production environments.- Build and maintain highly scalable backend microservices and real-time inference systems on cloud platforms (AWS, GCP, Azure).4. Mentorship & Collaboration : - Mentor junior scientists / engineers in GenAI best practices and research methodologies.- Work cross-function