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Senior AI Engineer - Building the Future of 2026

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are Nexus Horizon, a pioneering tech firm dedicated to defining the technological landscape of 2026 and beyond. We are looking for a visionary Senior AI Engineer to lead our research and development division. You will be at the forefront of the next industrial revolution, architecting intelligent systems that redefine human-machine interaction.

If you are passionate about pushing the boundaries of Deep Learning, Natural Language Processing, and Generative AI, we want to hear from you. Join us in building the infrastructure that powers the future.

Responsibilities

  • Design and implement cutting-edge Machine Learning models and algorithms focused on scalability and efficiency.
  • Lead the architecture of our Large Language Model (LLM) infrastructure to ensure high availability and low latency.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate complex AI concepts into deployable solutions.
  • Stay abreast of the latest advancements in AI research and integrate state-of-the-art techniques into our production pipelines.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Optimize existing models for inference speed and reduce computational costs.
  • Define best practices for data privacy, ethics, and safety in AI deployment.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related field.
  • 7+ years of professional experience in AI/ML engineering, with at least 3 years in a senior leadership role.
  • Expert proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).
  • Proven experience with Large Language Models (LLMs), Transformers, and NLP tasks.
  • Strong background in distributed systems, cloud architecture (AWS, GCP, or Azure), and containerization (Docker/Kubernetes).
  • Experience deploying AI models to production environments using MLOps tools.
  • Excellent problem-solving skills and the ability to communicate complex technical ideas to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow AWS MLOps Machine Learning Deep Learning NLP LLMs Kubernetes Docker SQL

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