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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Robotics Architect

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are not just building software; we are architecting the future of autonomous intelligence for the year 2026 and beyond. Nexus Horizon Technologies is seeking a visionary Senior AI & Robotics Architect to lead the development of next-generation Agentic Systems.

In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and production-grade, scalable software. You will define the architectural standards for our next generation of autonomous agents, ensuring they are safe, efficient, and capable of complex reasoning in dynamic environments.

Why join us?

  • Work on cutting-edge AI research that pushes the boundaries of what is possible.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with a hub in the heart of San Francisco.

Responsibilities

  • Design and implement robust, scalable architectures for AI agents and multi-modal systems.
  • Lead the R&D efforts in reinforcement learning, natural language processing, and computer vision.
  • Optimize model inference latency and resource utilization to ensure real-time responsiveness.
  • Collaborate with cross-functional teams of engineers, ethicists, and product managers.
  • Establish best practices for data privacy, security, and explainable AI (XAI).
  • Prototype and validate novel algorithms in sandbox environments before deployment.

Qualifications

  • 5+ years of professional experience in software engineering, with a strong focus on AI/ML.
  • Deep expertise in Python, C++, or Rust, and frameworks such as PyTorch or TensorFlow.
  • Experience with Large Language Models (LLMs), RAG pipelines, and vector databases.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Experience in robotics or simulation environments (e.g., ROS, Gazebo).
  • Excellent problem-solving skills and ability to thrive in ambiguous, fast-paced environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems Kubernetes AWS Natural Language Processing Robotics

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