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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Tech Engineer

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Future Labs as our Senior AI & Future Tech Engineer and help define the technological landscape of 2026 and beyond. We are not just building software; we are architecting the infrastructure for the next generation of digital reality. In this pivotal role, you will lead the development of autonomous systems, next-gen web applications, and AI-driven solutions that will disrupt industries.

Our ideal candidate is a visionary technologist who thrives in ambiguity and possesses an insatiable curiosity for what lies on the horizon of technology. You will be working at the intersection of machine learning, blockchain, and high-performance computing to build systems that are not only robust today but scalable for tomorrow.

Responsibilities

  • Architect and deploy scalable AI models and next-gen web services targeting the 2026 technology stack.
  • Lead a cross-functional team in researching and implementing cutting-edge technologies such as Web3, Quantum-ready algorithms, and advanced LLMs.
  • Optimize system architecture for high performance, security, and future-proofing against rapid technological obsolescence.
  • Collaborate with product managers to translate futuristic concepts into actionable engineering roadmaps.
  • Conduct rigorous code reviews and establish best practices for distributed systems and cloud-native applications.
  • Mentor junior engineers, fostering a culture of innovation and continuous learning.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • 5+ years of professional experience in software engineering, with a focus on backend systems or AI integration.
  • Deep expertise in Python, Rust, or Go, and familiarity with modern containerization (Docker/Kubernetes).
  • Experience with AI/ML frameworks (TensorFlow, PyTorch) and large language model integration.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and serverless computing.
  • Proven track record of delivering complex, high-availability software products in a fast-paced environment.

Required Skills

Python Rust AI Machine Learning Web3 Kubernetes AWS Docker System Architecture React Node.js Cloud Computing

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