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Senior AI Engineer (Generative Models)

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Horizon, a leader in next-generation artificial intelligence, as we redefine the boundaries of what's possible with Generative AI. We are seeking a visionary Senior AI Engineer to lead the development of scalable foundation models and multimodal systems. In this role, you will work at the intersection of research and production, deploying cutting-edge algorithms that power our enterprise solutions. You will collaborate with a world-class team of researchers, engineers, and product designers to build the AI infrastructure of the future. If you are passionate about Large Language Models (LLMs), computer vision, and ethical AI, we want to hear from you.

Responsibilities

  • Design, train, and deploy state-of-the-art deep learning models for large-scale generative applications.
  • Optimize model inference performance for low-latency, high-throughput production environments.
  • Collaborate with product teams to translate complex business requirements into technical AI solutions.
  • Conduct rigorous experimentation and research to push the boundaries of model accuracy and efficiency.
  • Ensure the scalability, reliability, and security of AI infrastructure on cloud platforms.
  • Lead code reviews and mentor junior engineers to foster a culture of technical excellence.
  • Stay abreast of the latest advancements in the AI landscape and apply them to our product roadmap.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • 5+ years of professional experience in machine learning engineering, with at least 2 years focused on Generative AI or NLP.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of deep learning architectures, including Transformers, GANs, and diffusion models.
  • Experience with MLOps tools (MLflow, Kubeflow) and cloud providers (AWS, GCP, Azure).
  • Proven track record of deploying models into production environments.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps AWS Kubernetes NLP Generative AI LLMs

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