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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer | 2026 Project

2026 Technologies
San Francisco
Estimated Salary
USD 165.000 – USD 235.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to architect the future? 2026 Technologies is seeking a world-class Senior AI Engineer to lead the development of next-generation artificial intelligence systems. We are building the infrastructure for the year 2026 and beyond, focusing on scalable, ethical, and transformative AI solutions.

In this role, you will not just write code; you will shape the core logic that drives intelligent decision-making across our ecosystem. If you are passionate about pushing the boundaries of what is possible with Large Language Models and Neural Networks, we want to hear from you.

Responsibilities

  • Architect and deploy robust machine learning pipelines and deep learning models for production environments.
  • Collaborate with cross-functional teams to translate complex business requirements into technical AI solutions.
  • Optimize model inference speed and reduce latency for real-time applications.
  • Implement best practices for data privacy, security, and model explainability (XAI).
  • Mentor junior engineers and conduct technical code reviews to maintain high engineering standards.
  • Research and prototype cutting-edge algorithms to stay ahead of industry trends.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in software engineering and machine learning.
  • Strong proficiency in Python, C++, and SQL.
  • Deep knowledge of deep learning frameworks (PyTorch or TensorFlow) and MLOps tools.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow AWS GCP Docker Kubernetes MLOps NLP Data Science

Ready to Take This Challenge?

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