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Information Technology 🏒 Full Time ⭐️ Verified

Senior Generative AI Engineer (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

We are on the precipice of a new era. As we prepare for the technological paradigm shift of 2026, Nexus Horizon Labs is seeking a visionary Senior Generative AI Engineer to architect the intelligent systems of tomorrow.

In this pivotal role, you will not merely optimize existing models; you will pioneer the architecture for the next generation of autonomous, multimodal AI agents. You will define the safety protocols and scalability standards that will underpin the digital infrastructure of the future.

Join us in building the foundation for the year 2026 and beyond.

Responsibilities

  • Architect Next-Gen LLMs: Design and deploy proprietary Large Language Models optimized for enterprise-scale reasoning and generation.
  • Build Robust RAG Pipelines: Engineer advanced Retrieval-Augmented Generation systems to ensure hallucination-free, contextually accurate AI outputs.
  • Multimodal Integration: Lead the integration of vision, audio, and text processing to create cohesive, human-like AI agents.
  • AI Safety & Alignment: Implement rigorous safety guardrails and ethical alignment frameworks to ensure responsible AI deployment.
  • Cloud Infrastructure: Oversee the MLOps lifecycle, ensuring models are scalable, resilient, and efficient on cloud platforms.

Qualifications

  • Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • 5+ years of professional experience in Natural Language Processing (NLP) and Deep Learning.
  • Expert proficiency in Python, PyTorch, and modern machine learning libraries.
  • Deep understanding of Transformer architectures and fine-tuning methodologies (LoRA, PEFT).
  • Experience with vector databases (Pinecone, Milvus) and distributed computing.

Required Skills

Python PyTorch TensorFlow Generative AI LLM NLP RAG MLOps GCP AWS Transformer Models Deep Learning

Ready to Take This Challenge?

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