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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer | 2026 Vision

Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Are you ready to architect the future of artificial intelligence? Horizon Systems is looking for a visionary Senior AI Engineer to lead our initiative in developing next-generation AI systems for the 2026 era. We are pushing the boundaries of what is possible, combining Large Language Models (LLMs) with edge computing and quantum-ready architectures.

In this role, you will not just write code; you will define the technical roadmap for our flagship AI platform. You will work in a high-performance environment where innovation is encouraged, and your contributions will have a tangible impact on how humans interact with technology.

Responsibilities

  • Architect & Develop: Design and implement scalable machine learning pipelines and generative AI models using Python and PyTorch.
  • Optimization: Focus on model compression, quantization, and inference optimization to ensure real-time performance on edge devices.
  • R&D Leadership: Conduct cutting-edge research to integrate emerging technologies (e.g., Agentic AI, Multimodal models) into production systems.
  • Collaboration: Partner with product managers and data scientists to translate complex requirements into robust technical solutions.
  • Ethical AI: Establish and enforce guidelines for responsible AI development, ensuring fairness, transparency, and safety.
  • System Integration: Integrate AI models with cloud infrastructure (AWS/Azure) and modern web frameworks.

Qualifications

  • Education: MS or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 5+ years of professional experience in software engineering and machine learning.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with Hugging Face Transformers.
  • Architecture: Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
  • Research: Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ACL) or comparable open-source contributions.
  • Communication: Excellent verbal and written communication skills; ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch Machine Learning AI Deep Learning AWS Docker Kubernetes Hugging Face LLMs

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