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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer | Generative Models

Horizon 2026 Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are on the precipice of a technological revolution. Horizon 2026 Technologies is seeking a visionary Senior AI Engineer to architect the future of generative intelligence. In this pivotal role, you will not just build models; you will define the roadmap for the next generation of autonomous agents and cognitive systems.

Join a world-class team pushing the boundaries of what is possible in 2026 and beyond. You will work directly with C-level leadership to translate complex scientific challenges into scalable, high-performance production systems.

Why join us?

  • Work with state-of-the-art LLMs and multimodal architectures.
  • Competitive equity and comprehensive benefits package.
  • Flexible remote-first culture with headquarters in the heart of SF.

Responsibilities

  • Lead the research and deployment of large-scale generative models (LLMs, Diffusion, Transformers).
  • Architect high-throughput, low-latency inference pipelines serving millions of requests.
  • Collaborate with product teams to integrate AI capabilities into consumer-facing applications.
  • Establish best practices for model training, fine-tuning, and evaluation.
  • Drive technical strategy for the '2026' AI roadmap, focusing on safety and alignment.
  • Mentor junior engineers and researchers, fostering a culture of innovation.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in AI/ML engineering with a focus on NLP or Computer Vision.
  • Deep proficiency in Python, PyTorch, or TensorFlow.
  • Experience with MLOps tools (Kubernetes, MLflow, AWS SageMaker).
  • Strong understanding of transformer architectures and attention mechanisms.
  • Excellent problem-solving skills and ability to thrive in a fast-paced, ambiguous environment.

Required Skills

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

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