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Senior AI Engineer (2025 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Welcome to the forefront of innovation. Nexus Future Labs is seeking a visionary Senior AI Engineer to join our elite team in San Francisco. As we define the roadmap for 2025, we are looking for a technical leader who is passionate about pushing the boundaries of what is possible with Large Language Models (LLMs) and Generative AI.

In this role, you will not just write code; you will architect the intelligent systems that will power our products for the next decade. If you thrive in a fast-paced, innovative environment and want to build the core of tomorrow's technology today, we want to hear from you.

Why Join Us?

  • Work on next-generation AI infrastructure.
  • Competitive compensation and equity packages.
  • Top-tier benefits and flexible working arrangements.

Responsibilities

  • Design and implement scalable machine learning pipelines and infrastructure using Python, PyTorch, and TensorFlow.
  • Lead the research and development of cutting-edge AI models, focusing on Natural Language Processing (NLP) and computer vision.
  • Collaborate closely with product managers and designers to translate complex technical requirements into user-friendly features.
  • Optimize existing models for latency, throughput, and accuracy to ensure seamless user experiences.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Stay ahead of industry trends and integrate emerging technologies into our 2025 roadmap.

Qualifications

  • Master’s degree or PhD in Computer Science, Machine Learning, or a related field.
  • 5+ years of professional experience in AI/ML engineering, with at least 2 years in a leadership or senior role.
  • Deep expertise in Python, C++, and modern deep learning frameworks (PyTorch or TensorFlow).
  • Proven track record of deploying production-ready ML models at scale.
  • Strong understanding of MLOps, cloud infrastructure (AWS/GCP), and data engineering principles.
  • Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning NLP MLOps AWS GCP Deep Learning

Ready to Take This Challenge?

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