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Research Engineer – Generative AI (LLMs)
Research Engineer – Generative AI (LLMs)Abacus.AI • dehradun, uttarakhand, in
Research Engineer – Generative AI (LLMs)

Research Engineer – Generative AI (LLMs)

Abacus.AI • dehradun, uttarakhand, in
6 hours ago
Job description

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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