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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer - LLM Architect

Nexus AI Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Are you ready to shape the future of Artificial Intelligence?

Nexus AI Systems is on a mission to revolutionize how humans interact with machine intelligence. As we expand our Generative AI initiatives for 2026, we are seeking a visionary Senior AI Engineer (LLM Architect) to lead our technical strategy.

In this role, you will design and deploy cutting-edge Large Language Models (LLMs) that power the next generation of enterprise applications. You will work in a high-performance environment, collaborating with world-class researchers and engineers to push the boundaries of Natural Language Processing (NLP).

Why Join Us?

  • Work on projects that define the AI roadmap for 2026.
  • Competitive compensation and equity packages.
  • Top-tier healthcare and flexible remote-first policies.
  • Access to the latest hardware and cloud infrastructure.

Responsibilities

  • Design, train, and fine-tune large-scale foundation models using PyTorch and TensorFlow.
  • Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and reduce hallucinations.
  • Optimize model inference performance and reduce latency for real-time applications.
  • Collaborate with data scientists to curate high-quality datasets and implement RLHF (Reinforcement Learning from Human Feedback).
  • Stay abreast of the latest research in LLMs, Transformers, and multi-modal AI architectures.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • 5+ years of experience in Machine Learning, Deep Learning, or NLP.
  • Strong proficiency in Python, C++, and GPU programming (CUDA).
  • Experience with Hugging Face Transformers, LangChain, and vector databases (Pinecone, Milvus).
  • Proven track record of deploying production-grade AI models at scale.
  • Deep understanding of transformer architectures and attention mechanisms.
  • Excellent problem-solving skills and communication abilities.

Required Skills

Python PyTorch TensorFlow LLM Large Language Models NLP RAG MLOps GPT Hugging Face CUDA Transformer Architecture

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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