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Senior Generative AI Engineer (2026 Vision)

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

Job Description

Are you ready to architect the technological landscape of 2026? Apex Horizon Systems is seeking a visionary Senior Generative AI Engineer to lead our next-generation research initiatives. As we prepare for the AI evolution of the next decade, we need a technical leader who can bridge the gap between theoretical research and scalable production systems.


In this role, you will define the architecture for our flagship AI products, ensuring they remain at the forefront of the industry. You will work in a high-performing, remote-first culture that values innovation, ethical AI, and future-proofing our infrastructure.


Why Join Us?

  • Future-Ready Environment: Work on projects designed to dominate the 2026 tech landscape.
  • Competitive Compensation: $180k - $260k base salary with equity options.
  • Flexible Culture: Fully remote opportunities across the United States.

Responsibilities

  • Design and deploy scalable Large Language Models (LLMs) optimized for low-latency inference in edge environments.
  • Architect MLOps pipelines that integrate seamlessly with quantum-ready cloud infrastructure.
  • Collaborate with cross-functional teams to translate business requirements into advanced AI solutions.
  • Lead code reviews and mentor junior engineers on best practices for neural network optimization.
  • Ensure data privacy, ethical AI compliance, and bias mitigation in all training datasets.
  • Predict and adapt to emerging AI paradigms, such as autonomous agents and multimodal learning.

Qualifications

  • Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • Minimum of 5 years of professional experience in AI/ML engineering with a focus on Generative AI.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Proven track record of deploying models to production at scale using AWS, Azure, or GCP.
  • Strong understanding of NLP, Computer Vision, and Reinforcement Learning algorithms.
  • Experience with model compression techniques (Quantization, Pruning) for 2026 deployment standards.

Required Skills

Python PyTorch TensorFlow Machine Learning MLOps NLP AWS GCP Generative AI Reinforcement Learning Deep Learning

Ready to Take This Challenge?

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