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Senior AI Engineer 2026

Apex Intelligence Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are building the cognitive layer of the internet for the year 2026. Apex Intelligence Systems is seeking a visionary Senior AI Engineer to lead our research into next-generation generative architectures and autonomous agents. You will not just be writing code; you will be defining the roadmap for artificial general assistance.


In this role, you will bridge the gap between theoretical breakthroughs and scalable production systems. If you are passionate about the future of AI and want to shape the tools that will define the next decade, we want to hear from you.


Why join us?

  • Work on cutting-edge LLMs and Agentic workflows.
  • Competitive equity and benefits package.
  • Flexible remote/hybrid work culture.
  • Opportunity to influence global AI standards.

Responsibilities

  • Architect and deploy scalable large language models (LLMs) and multimodal AI systems optimized for low-latency inference.
  • Lead research initiatives to improve model accuracy, efficiency, and safety protocols for production environments.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer-facing products.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Implement rigorous testing and evaluation frameworks to ensure model robustness and fairness.
  • Stay abreast of the latest academic research and industry trends to drive continuous improvement.

Qualifications

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering, with a focus on Deep Learning.
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Proven track record of shipping production-grade ML models.
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Experience with cloud infrastructure (AWS/GCP) and containerization (Docker/Kubernetes).

Required Skills

Python PyTorch TensorFlow LLMs NLP Machine Learning Deep Learning AWS Docker Kubernetes Scikit-learn OpenAI API

Ready to Take This Challenge?

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