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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Product Engineer - 2026 Vision

Horizon 2026 Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to shape the technological landscape of the future? Horizon 2026 Inc. is seeking a visionary Senior AI Product Engineer to lead the charge in defining the next generation of intelligent systems. We are building the infrastructure that will define the year 2026 and beyond.

In this high-impact role, you will bridge the gap between cutting-edge research and scalable production systems. You will work with world-class engineers to deploy AI solutions that solve complex real-world problems. If you are passionate about the future of technology and possess a deep understanding of machine learning architectures, we want to meet you.

Responsibilities

  • Architect and deploy robust machine learning models and AI agents designed for the 2026 tech landscape.
  • Collaborate with cross-functional product teams to define technical requirements and roadmap features.
  • Optimize model inference and training pipelines for maximum efficiency and cost-effectiveness.
  • Stay at the forefront of emerging AI trends, including Generative AI, LLMs, and Computer Vision.
  • Conduct code reviews, technical mentoring, and architecture planning to ensure engineering excellence.
  • Manage the full ML lifecycle from data ingestion and processing to model monitoring and maintenance.

Qualifications

  • 5+ years of professional experience in software engineering, data science, or machine learning.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Deep understanding of Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Proven track record of shipping scalable products to production environments.
  • BS, MS, or PhD in Computer Science, Mathematics, or a related quantitative field.

Required Skills

Python PyTorch TensorFlow AWS Machine Learning NLP LLMs Docker Kubernetes MLOps

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