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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Infrastructure Engineer

2026 Global
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to define the technological landscape of 2026 and beyond? 2026 Global is seeking a visionary Senior AI Infrastructure Engineer to architect the next generation of scalable, intelligent systems. We are not just building software; we are building the future.

In this pivotal role, you will lead the deployment of cutting-edge AI models and quantum-ready architectures. You will work in a dynamic, high-performance environment where your code will have a tangible impact on global industries.

Why join us?

  • Work on forward-looking projects that define industry standards.
  • Competitive compensation package with equity opportunities.
  • Flexible remote-first culture with premium office amenities.

Ready to shape the future? Apply today.

Responsibilities

  • Design and implement high-performance microservices and distributed systems tailored for next-gen computing environments.
  • Lead the integration of Generative AI models and Large Language Models (LLMs) into core production workflows.
  • Conduct rigorous code reviews and mentor junior engineers on best practices for scalability and security.
  • Collaborate with cross-functional product teams to translate futuristic concepts into viable technical solutions.
  • Optimize system latency and ensure 99.99% uptime for critical infrastructure.
  • Drive the adoption of DevOps practices and CI/CD pipelines.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • 7+ years of professional experience in backend software development and system architecture.
  • Proficiency in Python, Go, Rust, or TypeScript with a focus on high-concurrency systems.
  • Deep understanding of cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
  • Experience with AI/ML frameworks (TensorFlow, PyTorch) and MLOps tools.
  • Strong problem-solving skills and the ability to thrive in a fast-paced startup environment.

Required Skills

Python Go AWS Kubernetes Machine Learning System Architecture DevOps Cloud Computing

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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