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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer - 2026 Vision

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

We are on a mission to define the technological landscape of 2026. Nexus Future Labs is seeking a visionary Senior AI Engineer to lead the development of next-generation Generative AI systems. In this role, you won't just follow trends; you will set them. We are looking for a technical mastermind to architect scalable, secure, and ethically aligned AI models that will power the enterprise of tomorrow.

As part of our elite R&D division, you will collaborate with world-class researchers and product leaders to solve complex problems in Large Language Models (LLMs), Computer Vision, and Autonomous Agents. If you are passionate about the future of technology and want to build systems that matter, this is your opportunity to shape the year 2026 and beyond.

Why Join Us?

  • Work on cutting-edge AI infrastructure that will scale globally.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with a hub in the heart of San Francisco.
  • Access to the latest hardware for AI training and inference.

Responsibilities

  • Architect and deploy state-of-the-art Machine Learning models, focusing on Generative AI and LLM fine-tuning.
  • Optimize model inference latency and reduce operational costs for large-scale deployments.
  • Design robust MLOps pipelines ensuring high availability and data integrity.
  • Lead technical strategy sessions to define the 2026 roadmap for our AI products.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Collaborate with product managers to translate business requirements into technical solutions.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 10+ years of professional experience in software engineering and machine learning.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven experience deploying models to production environments (AWS, GCP, or Azure).
  • Strong understanding of NLP, Deep Learning, and Neural Network architectures.
  • Excellent problem-solving skills and the ability to work in a fast-paced, ambiguous environment.

Required Skills

Python PyTorch TensorFlow AWS Machine Learning Deep Learning NLP MLOps LLMs Generative AI

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