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Senior Generative AI Engineer - San Francisco, CA

Nexus Horizon AI
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus Horizon AI is seeking a visionary Senior Generative AI Engineer to lead our next-generation AI initiatives. In this pivotal role, you will architect and deploy sophisticated Large Language Models (LLMs) and autonomous agents that redefine user experiences. You will work in a dynamic, high-performance environment where innovation is not just encouraged, but required.

Why Join Us?

  • Work on cutting-edge AI projects with a global impact.
  • Competitive salary and equity package.
  • Flexible remote-first culture with a premium San Francisco office.

Responsibilities

  • Model Architecture: Design and implement scalable architectures for Large Language Models (LLMs) and generative AI agents.
  • Optimization: Fine-tune and optimize transformer models to reduce inference latency and improve throughput.
  • RAG Pipelines: Build and maintain robust Retrieval-Augmented Generation (RAG) systems to ensure factual accuracy.
  • Deployment: Deploy AI models to production environments using containerization (Docker/Kubernetes) and cloud services (AWS/GCP).
  • Research: Stay ahead of the curve by integrating emerging AI research into practical applications.

Qualifications

  • Education: Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • Experience: 5+ years of experience in software engineering, with at least 2 years focusing on Machine Learning and Deep Learning.
  • Tools: Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
  • Systems: Strong understanding of distributed systems, cloud infrastructure, and MLOps pipelines.
  • Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Large Language Models AWS Kubernetes MLOps

Ready to Take This Challenge?

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