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Senior AI/AGI Engineer (2026 Readiness)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
11 Juli 2026
Deadline
11 Jul 2027

Job Description

Join the Architects of Tomorrow.

Nexus Horizon Labs is pioneering the technological landscape for the year 2026 and beyond. We are seeking a visionary Senior AI/AGI Engineer to lead the development of next-generation artificial general intelligence systems. If you are obsessed with the intersection of human cognition and machine learning, we want to hear from you.

As we prepare for the paradigm shift of 2026, you will be at the forefront of building scalable, ethical, and hyper-intelligent models that will define the future of enterprise. This is not just a job; it is an opportunity to leave a lasting legacy in the tech industry.

Why Join Us?

  • Work on cutting-edge Agentic AI architectures.
  • Competitive equity and performance bonuses.
  • Top-tier healthcare and remote-first flexibility.

Responsibilities

  • Design and deploy scalable Large Language Model (LLM) architectures for 2026 readiness.
  • Lead the implementation of Retrieval-Augmented Generation (RAG) pipelines to enhance data accuracy.
  • Optimize model inference latency and reduce computational costs for edge deployment.
  • Mentor junior engineers and foster a culture of innovation and technical excellence.
  • Conduct research into emergent behaviors in neural networks to improve safety and alignment.
  • Collaborate with product teams to translate complex technical concepts into user-centric solutions.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • 5+ years of professional experience in Machine Learning and Deep Learning.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR).
  • Deep understanding of transformer models, attention mechanisms, and NLP.
  • Experience with MLOps tools (Docker, Kubernetes, MLflow).

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLM Transformer Models MLOps CUDA

Ready to Take This Challenge?

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

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