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Senior AI Engineer - Future Tech Lead (2026)

Nexus Future Systems
San Francisco
Estimated Salary
USD 140.000 – USD 200.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to shape the future of technology? Nexus Future Systems is seeking a visionary Senior AI Engineer to lead our cutting-edge initiatives in predictive modeling and generative AI. As we prepare for the technological landscape of 2026, we need a pioneer who can bridge the gap between theoretical AI and scalable, real-world applications.

In this role, you will architect next-generation neural networks, optimize large-scale data pipelines, and collaborate with cross-functional teams to deploy intelligent solutions. If you are passionate about the trajectory of AI and want to be at the forefront of innovation, we want to hear from you.

Responsibilities

  • Design, develop, and deploy advanced machine learning models to solve complex business problems.
  • Lead the architecture of scalable AI infrastructure using cloud platforms (AWS/GCP/Azure).
  • Conduct research to implement state-of-the-art algorithms (e.g., Transformers, GANs).
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Collaborate with product managers to translate technical requirements into high-impact features.
  • Optimize data pipelines for speed and accuracy, ensuring real-time processing capabilities.
  • Stay ahead of industry trends and integrate emerging technologies into our product roadmap.

Qualifications

  • Master’s degree in Computer Science, Physics, Mathematics, or a related field (PhD preferred).
  • 5+ years of professional experience in AI/ML engineering, with a focus on deep learning.
  • Proficiency in programming languages such as Python, PyTorch, or TensorFlow.
  • Strong understanding of data structures, algorithms, and software engineering best practices.
  • Experience with MLOps, CI/CD pipelines, and cloud-based machine learning services.
  • Proven track record of deploying production-ready AI models.
  • Excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps AWS GCP Cloud Computing

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