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Senior AI Engineer (2025 Strategy)

Nexus Horizon Labs
San Francisco, California
Estimated Salary
USD 180.000 – USD 240.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Shape the Future of Intelligence at Nexus Horizon Labs.

We are looking for a visionary Senior AI Engineer to lead our strategic initiatives for 2025. In this pivotal role, you will design and deploy next-generation artificial intelligence systems that drive efficiency and innovation across our global platforms. If you are a technical expert passionate about the intersection of data science and scalable engineering, we want to hear from you.

Join a team that values autonomy, technical excellence, and the rapid application of cutting-edge technology.

Responsibilities

  • Lead Strategic AI Development: Spearhead the design and implementation of core AI models and algorithms tailored for the 2025 strategic roadmap.
  • System Architecture: Design scalable, fault-tolerant systems that integrate seamlessly with our existing cloud infrastructure.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and engineers to define technical requirements and deliver high-impact solutions.
  • Optimization & Performance: Continuously monitor, test, and optimize AI models to ensure real-time performance and high accuracy.
  • Technical Mentorship: Mentor junior engineers and conduct code reviews to foster a culture of technical excellence and knowledge sharing.
  • Innovation Research: Stay ahead of industry trends in Generative AI, NLP, and Machine Learning to drive internal innovation.

Qualifications

  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • Experience: 5+ years of experience in software engineering, with at least 3 years in a senior AI or machine learning engineering role.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and SQL.
  • Cloud Mastery: Proven experience architecting solutions on AWS, GCP, or Azure.
  • Problem Solving: Strong ability to troubleshoot complex system issues and design robust solutions.
  • Communication: Excellent verbal and written communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning TensorFlow AWS GCP PyTorch NLP System Architecture Cloud Computing Data Science

Ready to Take This Challenge?

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