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Information Technology 🏢 Full Time ⭐️ Verified

Senior Artificial Intelligence Engineer

NexusMind AI Systems
San Francisco
Salary Estimate
USD 180.000 – USD 240.000
Live Update
9 Mei 2026
Deadline
10 Mei 2027

Job Description

Build the future of intelligence.

At NexusMind AI, we are pushing the boundaries of what is possible with machine learning. We are seeking a highly skilled Senior AI Engineer to join our core research and development team in San Francisco. You will be instrumental in architecting scalable models that power real-world applications for global enterprises. If you are passionate about neural networks, deep learning, and ethical AI development, we want to hear from you.

Responsibilities

  • Design and implement scalable AI models using PyTorch or TensorFlow.
  • Collaborate with data scientists to optimize algorithms for high-throughput production environments.
  • Lead the development of generative AI pipelines to improve user interaction accuracy.
  • Conduct rigorous code reviews and provide technical mentorship to junior engineers.
  • Maintain and improve existing model architectures to ensure high performance and low latency.
  • Bridge the gap between experimental research and production-grade software.
  • Monitor and troubleshoot AI system performance, identifying bottlenecks and implementing fixes.

Qualifications

  • Master’s or Ph.D. in Computer Science, Mathematics, or a related quantitative field.
  • Minimum of 5 years of experience in AI/ML development in a professional setting.
  • Expertise in Python, C++, and modern machine learning frameworks (PyTorch, JAX, or TensorFlow).
  • Proven track record of deploying Large Language Models (LLMs) or Computer Vision systems.
  • Deep understanding of data structures, algorithms, and distributed computing (Spark, Ray, Kubernetes).
  • Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Experience with cloud platforms like AWS, GCP, or Azure.

Required Skills

Artificial Intelligence Machine Learning Deep Learning PyTorch TensorFlow Python Generative AI MLOps Distributed Systems

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