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Senior AI Engineer - 2026 Roadmap

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

Job Description

Shape the Future of Intelligence

Apex Future Systems is pioneering the next generation of 2026-ready AI infrastructure. We are looking for a visionary Senior AI Engineer to lead our research division, focusing on scalable Large Language Models (LLMs) and autonomous agents. If you are passionate about defining the technology landscape for the coming decade, this is your opportunity to make an impact.

We offer a competitive package, equity, and the chance to work on cutting-edge projects that will define the industry in 2026 and beyond.

Responsibilities

  • Lead the architecture and development of proprietary AI models designed for 2026 scalability and efficiency.
  • Optimize inference pipelines for low-latency, high-volume deployment in cloud environments.
  • Collaborate with cross-functional teams to integrate AI capabilities into core product features.
  • Stay at the forefront of AI research, identifying emerging trends to drive innovation.
  • Ensure ethical AI practices and compliance with evolving industry standards.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • 5+ years of experience in AI/ML engineering, with a strong focus on LLMs (e.g., GPT, Llama, Claude architectures).
  • Proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of distributed systems and cloud infrastructure (AWS, GCP, or Azure).
  • Experience with MLOps, model fine-tuning, and RAG (Retrieval-Augmented Generation) architectures.

Required Skills

Python PyTorch TensorFlow AWS MLOps LLMs Machine Learning Distributed Systems NLP GCP

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