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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer (2026 Roadmap)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Mei 2026
Deadline
30 Mei 2027

Job Description

Are you ready to architect the future? Nexus Future Systems is seeking a visionary Senior AI Engineer to define our technological trajectory through 2026. In this pivotal role, you won't just build models; you will shape the ethical and scalable AI frameworks that will define the next generation of enterprise intelligence.

We are a frontier technology firm pushing the boundaries of Generative AI and Predictive Analytics. We are looking for a leader who thrives in ambiguity and possesses the technical prowess to turn ambitious roadmaps into production-ready reality. If you are passionate about the intersection of data science and human experience, we want to hear from you.

Responsibilities

  • Lead Model Architecture: Spearhead the design and implementation of advanced machine learning models, specifically focusing on LLMs and predictive analytics for the 2026 product suite.
  • Roadmap Execution: Collaborate with C-level executives to translate high-level 2026 strategic goals into concrete technical milestones and development sprints.
  • Optimization & Scaling: Engineer high-performance data pipelines capable of processing petabytes of data with sub-millisecond latency.
  • Ethical AI Governance: Establish and enforce guidelines for bias mitigation, data privacy, and responsible AI deployment.
  • Team Mentorship: Cultivate a high-performance engineering culture, conducting code reviews, technical architecture sessions, and mentoring junior data scientists.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • Experience: Minimum of 7 years of professional experience in AI/ML engineering, with a proven track record of deploying large-scale systems.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Spark).
  • Specialization: Strong background in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Soft Skills: Exceptional problem-solving abilities, clear communication skills for cross-functional collaboration, and a strategic mindset.

Required Skills

Python TensorFlow PyTorch Machine Learning NLP Kubernetes AWS Data Engineering Deep Learning MLOps

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