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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Engineer: Generative AI & LLMs

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are Nexus Horizon Labs, a pioneer in next-generation intelligence. We are building the foundational architecture for the AI era of 2026 and beyond. We are seeking a visionary Senior AI Engineer to lead the development of cutting-edge Generative AI models, focusing on Large Language Models (LLMs), multimodal systems, and autonomous agents.

In this high-impact role, you will not just use existing tools; you will architect the future of synthetic intelligence. You will work in a dynamic, research-driven environment collaborating with world-class data scientists and engineers.

Why Join Us?

  • Work on projects that define the industry standard for AI safety and scalability.
  • Competitive compensation package with equity options.
  • State-of-the-art equipment and access to proprietary datasets.

Responsibilities

  • Design, train, and fine-tune state-of-the-art Large Language Models (LLMs) and Generative Adversarial Networks (GANs).
  • Architect scalable Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and reduce hallucinations.
  • Implement advanced prompt engineering strategies and Reinforcement Learning from Human Feedback (RLHF) loops.
  • Optimize model inference latency and throughput using techniques like quantization and distillation.
  • Conduct rigorous research into novel transformer architectures and attention mechanisms.
  • Collaborate with product teams to translate complex AI capabilities into user-friendly applications.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on Machine Learning or Natural Language Processing.
  • 5+ years of professional experience in AI/ML engineering, specifically with Python and deep learning frameworks (PyTorch or TensorFlow).
  • Extensive hands-on experience training, fine-tuning, and deploying foundation models.
  • Strong proficiency in distributed computing and cloud infrastructure (AWS, GCP, or Azure).
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ACL) or open-sourcing impactful projects.

Required Skills

Python PyTorch TensorFlow Transformers Hugging Face RAG Fine-tuning RLHF Prompt Engineering Vector Databases AWS Docker Kubernetes Machine Learning Deep Learning NLP

Ready to Take This Challenge?

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