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Information Technology 🏒 Full Time ⭐️ Verified

AI Visionary Engineer 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are pioneering the technological landscape of 2026 and beyond. Nexus Future Labs is seeking a visionary AI Visionary Engineer to lead the development of next-generation artificial intelligence systems. If you are obsessed with scalability, ethics, and the future of AGI, this is your stage.

In this role, you will not just build software; you will define the architectural standards for the AI era. Collaborate with top-tier researchers and engineers to deploy models that understand context, nuance, and human intent at a superhuman level.

Responsibilities

  • Architect Next-Gen Systems: Design and implement scalable infrastructure for large language models and generative AI agents.
  • Optimize Performance: Push the boundaries of inference speed and model efficiency to handle real-time, high-volume processing.
  • AI Ethics & Safety: Implement guardrails and ethical frameworks to ensure AI outputs are safe, unbiased, and responsible.
  • Research & Prototyping: Spearhead POCs (Proof of Concepts) for emerging AI paradigms like Neural Radiance Fields and Multimodal Learning.
  • Cross-Functional Leadership: Mentor junior engineers and communicate complex technical strategies to non-technical stakeholders.

Qualifications

  • Master’s or PhD: In Computer Science, Machine Learning, or a related field (PhD preferred).
  • Expertise: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing systems.
  • Experience: 5+ years of experience in AI/ML engineering, specifically in LLM development.
  • Problem Solving: Proven track record of solving complex algorithmic challenges and optimizing deep neural networks.
  • Communication: Exceptional ability to translate research papers into production-grade code.

Required Skills

Python PyTorch Machine Learning Deep Learning LLM Distributed Systems NLP TensorFlow Cloud Computing

Ready to Take This Challenge?

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