Lead Large Language Model Engineer

1 week ago


palakkad, India beBeeResearch Full time

AI research is a rapidly evolving field that requires innovative thinking and technical expertise. Abacus.AI is seeking an experienced Research Engineer to design, train, and optimize large language models and high-performance inference systems.Key Responsibilities:Develop and improve LLM training and inference pipelines on cloud GPUs.Curate and maintain datasets for pretraining and finetuning.Implement and improve transformer architectures (attention, positional encodings, MoE).Optimize inference using FlashAttention, PagedAttention, KV caches, and serving frameworks like vLLM / sglang.Collaborate with research and product teams to design experiments, analyze results, and ship improvements.Requirements:Strong programming skills and 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.Nice to Have:RL for LLMs (RLHF, PPO, GRPO).CUDA / GPU kernel or systems-level performance work.Experience with training infrastructure: monitoring, checkpointing, networking / distributed systems.



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