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Senior AI Engineer (2026 Vision) - San Francisco, CA

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to architect the intelligence of tomorrow? Apex Future Systems is looking for a visionary Senior AI Engineer to lead our 2026 Strategic Roadmap. We are not just building software; we are defining the future of Generative AI and predictive analytics for the enterprise sector.

In this pivotal role, you will spearhead the development of next-generation Large Language Models (LLMs) and autonomous agents. You will work in a high-performance environment where innovation is the currency. If you are passionate about pushing the boundaries of what's possible in AI and want to be at the forefront of the 2026 tech revolution, we want to meet you.

Why join us?

  • Work on cutting-edge AI infrastructure used by Fortune 500 companies.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with a premium office in San Francisco.
  • Continuous learning budget for conferences and certifications.

Core Responsibilities:

Responsibilities

  • Lead the architectural design and implementation of scalable AI/ML pipelines focusing on the 2026 technology stack.
  • Research and deploy state-of-the-art Deep Learning models to solve complex business problems.
  • Optimize model latency and throughput for real-time inference in production environments.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence.
  • Collaborate with product leadership to translate business requirements into technical AI solutions.
  • Stay ahead of industry trends, specifically regarding the evolution of AI agents and synthetic data.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in Machine Learning Engineering or Data Science.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of MLOps, CI/CD pipelines, and cloud infrastructure (AWS/GCP/Azure).
  • Experience with vector databases and RAG (Retrieval-Augmented Generation) architectures.
  • Demonstrated ability to lead technical projects from conception to production deployment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps AWS Docker Kubernetes Natural Language Processing AI Architecture

Ready to Take This Challenge?

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