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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer: Architecting for 2026

Quantum Horizon Labs
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are not just building software; we are architecting the infrastructure for the year 2026 and beyond. Quantum Horizon Labs is seeking a visionary Senior AI Engineer to lead our cutting-edge initiatives in Generative AI and Autonomous Systems.

In this role, you will be at the forefront of innovation, tasked with designing scalable, robust, and secure AI architectures that will define the next decade of technology. If you are passionate about pushing the boundaries of Large Language Models (LLMs), Agentic workflows, and next-gen machine learning paradigms, we want to hear from you.

Why Join Us?

  • Work on mission-critical projects that shape the future.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with top-tier benefits.
  • Access to the latest hardware and cloud resources.

Responsibilities

  • Design and implement scalable AI/ML architectures for 2026-ready products.
  • Lead the development of advanced Generative AI models, including fine-tuning and RAG pipelines.
  • Optimize model inference speed and reduce latency for real-time applications.
  • Collaborate with cross-functional teams (product, engineering, design) to translate business needs into technical solutions.
  • Mentor junior engineers and establish best practices for AI development.
  • Ensure data privacy, security, and compliance across all AI deployments.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • 5+ years of experience in software engineering with a strong focus on Machine Learning.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven experience deploying LLMs and generative models at scale.
  • Strong understanding of cloud platforms (AWS, GCP, or Azure).
  • Experience with MLOps tools (Docker, Kubernetes, MLflow).

Required Skills

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

Ready to Take This Challenge?

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