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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer - The 2026 Initiative

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Nexus Horizon Labs is at the forefront of defining the technological landscape of tomorrow. We are currently recruiting a visionary Senior AI Engineer to spearhead our 2026 Initiative. This is a unique opportunity to architect the generative AI systems that will shape the future of enterprise automation.

As a key player in our R&D division, you will be responsible for pushing the boundaries of Large Language Models (LLMs) and developing autonomous agents capable of complex decision-making. If you are driven by the challenge of building next-generation technology and want to be instrumental in defining the standards for the year 2026, we invite you to join our elite team.

Responsibilities

  • Lead the architectural design and implementation of scalable AI infrastructure for the 2026 roadmap.
  • Research and develop novel algorithms for Long-Context LLMs and Multimodal systems.
  • Optimize model performance for low-latency, high-throughput production environments.
  • Collaborate with cross-functional teams to translate technical requirements into innovative product solutions.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Ensure ethical AI practices and data privacy compliance in all deployed models.
  • Stay ahead of industry trends to integrate cutting-edge technologies into our core stack.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 7 years of professional experience in machine learning and software engineering.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Deep experience with fine-tuning Large Language Models and Reinforcement Learning from Human Feedback (RLHF).
  • Strong understanding of cloud infrastructure (AWS/GCP) and containerization (Docker/Kubernetes).
  • Proven track record of leading high-performing engineering teams in fast-paced environments.

Required Skills

Python Artificial Intelligence Machine Learning Deep Learning LLMs PyTorch TensorFlow AWS Kubernetes System Design

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