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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Senior AI Engineer - 2026 Roadmap

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
27 Mei 2026
Deadline
27 Mei 2027

Job Description

Are you ready to architect the future? Nexus Dynamics is seeking a visionary Senior AI Engineer to spearhead our 2026 Strategic Roadmap. In this pivotal role, you will design and deploy next-generation machine learning models that will define the technological landscape for years to come. We are not just building software; we are building the infrastructure for tomorrow.

Our team operates at the intersection of cutting-edge research and scalable production engineering. You will work directly with C-level leadership to define technical visions that align with our aggressive 2026 growth targets. If you are passionate about AI, have a knack for solving complex problems, and want to leave a lasting legacy, this is your opportunity.

Why Join Us?

  • Work on projects that will define the industry standard for 2026.
  • Competitive compensation package with equity options.
  • Flexible remote-first work culture.

Responsibilities

  • Lead the architecture and development of proprietary AI models focused on the 2026 product roadmap.
  • Collaborate with cross-functional teams (Product, Engineering, Design) to translate business goals into technical solutions.
  • Optimize existing machine learning pipelines for speed, scalability, and cost-efficiency.
  • Stay ahead of the curve by researching emerging technologies and methodologies relevant to the 2026 landscape.
  • Mentor junior engineers and conduct code reviews to ensure high technical standards.
  • Present technical concepts to non-technical stakeholders in a compelling manner.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Experience with Large Language Models (LLMs) and Generative AI architectures.
  • Proven track record of deploying models to production environments (e.g., AWS, GCP, Azure).
  • Excellent problem-solving skills and a deep understanding of data structures and algorithms.

Required Skills

Python TensorFlow PyTorch Machine Learning AI AWS GCP Kubernetes Docker Agile Scrum

Ready to Take This Challenge?

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