Research Engineer – Generative AI

6 days ago

Dombivli, India Abacus.AI Full time

Research Engineer – Generative AI (LLMs) Location: Remote Abacus.AI is a leading Generative AI company building a future where AI assists and automates most work and business processes for enterprises and professionals. We are looking for a Research Engineer to help design, train, and optimize large language models and high‑performance inference systems. What you’ll do - Build and optimize LLM training and inference pipelines on cloud GPUs. - Generate, 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. What we’re looking for - Strong Python 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 (langchain, pydantic, smolagents). 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. If this sounds exciting, I’d love to connect with you. Please feel free to reply with your updated resume at 📧 megha@abacus.ai. Looking forward to hearing from you

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