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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer (2026 Specialist)

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are at the precipice of the next industrial revolution. Nexus Horizon AI is seeking a visionary Senior AI Engineer (2026 Specialist) to architect the intelligent systems that will define the landscape of 2026 and beyond. As a leader in next-gen AI research, we are building autonomous agents capable of complex reasoning and multi-modal interaction. This is a rare opportunity to shape the technology stack of the future while working on cutting-edge generative models.

Why Join Us?

  • Work on proprietary Large Language Models (LLMs) tailored for enterprise deployment.
  • Be part of a team that defines the roadmap for 2026 AI capabilities.
  • Competitive equity package and top-tier benefits.

Responsibilities

  • Design and implement scalable machine learning infrastructure for generative AI models.
  • Lead research and development into Retrieval-Augmented Generation (RAG) and AI Agents.
  • Optimize model inference latency and memory usage for real-time applications.
  • Collaborate with product teams to integrate AI capabilities into user-facing features.
  • Mentor junior engineers and establish best practices for AI code quality and safety.
  • Stay ahead of the curve on emerging 2026 AI trends including multimodal learning and edge AI.

Qualifications

  • Master’s degree or PhD in Computer Science, Machine Learning, or a related technical field.
  • 5+ years of professional experience with Python, PyTorch, or TensorFlow.
  • Deep understanding of Transformer architectures and Large Language Models (LLMs).
  • Experience deploying AI models to production environments using cloud services (AWS, GCP, or Azure).
  • Strong proficiency in data engineering and MLOps pipelines.
  • Demonstrated ability to solve complex, unstructured problems.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLM Generative AI MLOps AWS GCP Kubernetes Docker

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