We are hiring experienced engineers and researchers to work on large language model (LLM) training systems in Bangalore. This is a full-time, on-site role focused on pre-training, post-training, fine-tuning, alignment, evaluation, and optimization of LLMs. We are looking for candidates with strong hands-on experience working with real-world model training pipelines and large-scale AI systems. Location: Bangalore, India Work Mode: On-site Employment Type: Full-time Compensation: Competitive and based on experience Responsibilities: Work on LLM pre-training and/or post-training workflows Fine-tune and optimize language models for production use cases Build and improve data pipelines for model training and evaluation Contribute to alignment, instruction tuning, RLHF, preference optimization, or related workflows Evaluate model quality, reliability, and performance Collaborate with engineering and research teams to improve model capabilities Requirements: Strong hands-on experience with LLMs or generative AI systems Experience with model training, fine-tuning, evaluation, or optimization Good understanding of deep learning and transformer architectures Proficiency in Python and ML frameworks such as PyTorch Ability to work in a fast-paced engineering environment Preferred Qualifications: Experience with distributed training systems Familiarity with large-scale datasets and training infrastructure Prior work on production AI systems Experience with open-source or proprietary LLM stacks If you have practical experience building or improving LLM systems and are interested in working on advanced AI projects, you may apply.