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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer - 2026 Systems

2026 Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

We are at the forefront of the next industrial revolution. 2026 Systems is pioneering the integration of autonomous agents and generative intelligence into core enterprise infrastructure. We are looking for a visionary Senior AI Engineer to join our elite team and help define the technological landscape of the future.

In this role, you will not just use existing tools; you will help architect the foundational models and neural architectures that will power the 2026 ecosystem. If you are obsessed with scalability, ethics in AI, and pushing the boundaries of what is possible, we want to meet you.

Responsibilities

  • Architect & Develop: Design and implement cutting-edge deep learning models, focusing on Large Language Models (LLMs) and reinforcement learning agents tailored for 2026 use cases.
  • Roadmap Execution: Lead the technical execution of the 2026 product roadmap, translating high-level strategy into concrete, scalable code.
  • Optimization: Optimize model inference and training pipelines to ensure sub-millisecond latency and high throughput at scale.
  • Ethical AI: Implement rigorous safety protocols and alignment strategies to ensure our AI systems remain robust, unbiased, and secure.
  • Collaboration: Partner with product managers, designers, and researchers to bridge the gap between theoretical AI research and practical, user-centric applications.

Qualifications

  • Education: MS or PhD in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
  • Experience: 5+ years of professional experience in software engineering, specifically within the AI/ML space.
  • Technical Stack: Proficiency in Python, PyTorch or TensorFlow, and C++ for high-performance computing.
  • System Design: Strong understanding of distributed systems, cloud architecture (AWS/GCP), and Kubernetes.
  • Future-Proofing: Demonstrated ability to research and adapt to emerging technologies and frameworks relevant to the 2026 timeline.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning System Design Cloud Computing Kubernetes AWS C++ NLP Reinforcement Learning

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