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Senior AI Engineer - 2026 Vision

Nexus Future Tech
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

We are seeking a visionary Senior AI Engineer to join our elite team and help define the roadmap for 2026. You will be instrumental in building next-generation artificial intelligence solutions that drive innovation and scalability.

At Nexus Future Tech, we are committed to pushing the boundaries of machine learning. In this role, you will lead the architecture of complex models, mentor a high-performing engineering team, and deliver production-ready AI systems that solve real-world problems.

Join us in shaping the future of technology and become a key player in our 2026 vision.

Responsibilities

  • Design and implement scalable machine learning algorithms and deep learning models.
  • Collaborate with cross-functional teams (data science, product management, engineering) to translate business requirements into technical AI solutions.
  • Optimize AI models for speed, accuracy, and efficiency in high-traffic production environments.
  • Mentor junior engineers and conduct technical code reviews to ensure best practices.
  • Stay abreast of the latest research in AI/ML and apply cutting-edge techniques to our products.
  • Deploy and maintain AI infrastructure on cloud platforms (AWS, GCP, or Azure).

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field (or equivalent practical experience).
  • 5+ years of experience in software engineering with a focus on AI, Machine Learning, or Deep Learning.
  • Proficiency in Python, TensorFlow, PyTorch, or similar machine learning frameworks.
  • Strong understanding of data structures, algorithms, and software design principles.
  • Experience with cloud services (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch Deep Learning AWS Docker Kubernetes NLP Computer Vision

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