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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer - 2026 Roadmap

Nebula Systems
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are seeking a visionary Senior AI Engineer to define the technological landscape for 2026 and beyond. At Nebula Systems, we are building the foundational AI infrastructure that will power the next generation of human-machine interaction. You will be at the forefront of Generative AI, working on scalable LLM architectures and autonomous decision-making systems.

As a key member of our R&D division, you will bridge the gap between theoretical research and production-grade deployment, ensuring our systems are robust, ethical, and ready for the future.

Responsibilities

  • Architect and deploy state-of-the-art Large Language Models (LLMs) optimized for the 2026 market.
  • Lead the research and development of novel neural network architectures and reinforcement learning algorithms.
  • Collaborate with product teams to integrate AI capabilities into user-facing applications seamlessly.
  • Optimize model inference latency and cost-efficiency for edge devices and cloud environments.
  • Establish best practices for AI ethics, transparency, and fairness in automated systems.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 5 years of professional experience in deep learning and natural language processing.
  • Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
  • Proven track record of deploying scalable ML models to production environments.
  • Strong understanding of transformer architectures, attention mechanisms, and vector databases.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLM AI Cloud Computing AWS GCP

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