Senior Large Language Model Developer

5 days ago


kakinada, India beBeeResearch Full time

Job DescriptionWe are seeking an expert in large language models to join our team and help design, train, and optimize these complex systems. As a Research Engineer in Generative AI, you will be responsible for building and optimizing LLM training and inference pipelines on cloud GPUs.Your primary objectives will be to generate, curate, and maintain datasets for pretraining and finetuning, implement and improve transformer architectures (attention, positional encodings, MoE), and optimize inference using FlashAttention, PagedAttention, KV caches, and serving frameworks like vLLM / sglang.Collaboration with research and product teams is essential to design experiments, analyze results, and ship improvements. Strong communication skills are required to ensure seamless collaboration.Required Skills and QualificationsStrong programming skills in Python, with solid software engineering practices.Hands-on experience with LLM training and inference.Proficiency with PyTorch or JAX.Experience with Hugging Face libraries: transformers, trl, accelerate.Experience training on cloud-hosted GPUs and with distributed / mixed-precision training.Strong understanding of transformer internals: attention, positional encodings, MoE.Familiarity with writing prompts, tool definitions, and managing context for LLMs in real applications (langchain, pydantic, smolagents).BenefitsAs a Research Engineer, you will have the opportunity to work on cutting-edge technology and contribute to the development of innovative solutions. You will be part of a dynamic team that values collaboration, innovation, and continuous learning.OthersIf you are passionate about large language models and have the necessary skills and qualifications, we encourage you to apply for this exciting opportunity. We look forward to hearing from you.



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