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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Future Tech Engineer

Nexus Horizon Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

We are building the infrastructure for the next decade. Nexus Horizon Inc. is seeking a visionary Senior AI & Future Tech Engineer to spearhead our initiatives aimed at the year 2026 and beyond. In this role, you won't just be building software; you will architect the fundamental technologies that will define the future of human-machine interaction, scalable AI, and ethical computing.


As a leader in our tech ecosystem, you will bridge the gap between theoretical research and production-grade engineering, ensuring our solutions are not only cutting-edge but also resilient and scalable.


Why join us?

  • Work on mission-critical projects that redefine industry standards.
  • Competitive compensation and equity packages.
  • Flexible remote-first policy with premium office amenities in San Francisco.

Responsibilities

  • Design and implement scalable AI architectures for next-generation applications.
  • Lead research and development efforts focused on emerging technologies (e.g., Neural Interfaces, AGI alignment).
  • Optimize machine learning models for high performance and low latency in real-time environments.
  • Mentor junior engineers and foster a culture of technical excellence and continuous learning.
  • Collaborate with cross-functional teams including product managers, designers, and data scientists.
  • Stay ahead of the curve by analyzing global tech trends to ensure our roadmap remains relevant through 2026 and beyond.

Qualifications

  • Minimum of 5 years of experience in software engineering, with a focus on Artificial Intelligence and Machine Learning.
  • Strong proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of deploying large-scale ML models into production.
  • BS, MS, or PhD in Computer Science, Mathematics, or a related technical field.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS Docker Kubernetes Machine Learning AI Software Engineering Deep Learning

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