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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 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are on a mission to define the future of intelligent interaction. As we accelerate towards our 2026 launch, we are seeking a visionary Senior AI Engineer to lead the development of next-generation generative models and autonomous systems.

In this pivotal role, you won't just be maintaining systems; you will be architecting the core intelligence that will power our platform for the next decade. If you thrive in a high-performance environment and are passionate about solving complex problems at the intersection of deep learning and real-world application, we want to hear from you.

Why join us?

  • Be part of the team shaping the roadmap for 2026 and beyond.
  • Work with state-of-the-art hardware and cloud infrastructure.
  • Competitive compensation package with equity options.
  • Flexible remote and hybrid work arrangements.

Responsibilities

  • Architect and deploy scalable machine learning pipelines for high-volume data processing.
  • Lead research and implementation of cutting-edge Generative AI and Large Language Model (LLM) architectures.
  • Collaborate with product and engineering teams to translate complex requirements into robust AI solutions.
  • Mentor junior engineers and foster a culture of technical excellence and innovation.
  • Optimize model inference latency and accuracy to ensure real-time performance.
  • Stay abreast of the latest advancements in AI research and integrate relevant methodologies into our stack.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in Machine Learning or Artificial Intelligence.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Proven experience with NLP, Computer Vision, or Reinforcement Learning.
  • Strong understanding of distributed systems and cloud platforms (AWS, GCP, or Azure).
  • Demonstrated ability to ship production-grade code in a fast-paced environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs AWS GCP Distributed Systems SQL

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