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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
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Are you ready to shape the future of machine intelligence? NexusMind AI is seeking a visionary Senior AI Engineer to join our core research and development team. We are pushing the boundaries of Large Language Models (LLMs) and autonomous decision-making systems. You will work in a high-impact environment, collaborating with industry-leading researchers to deploy state-of-the-art AI solutions that solve real-world complexities.

We prioritize innovation, technical excellence, and a collaborative spirit. If you are passionate about building scalable, production-grade AI infrastructure, we want to hear from you.

Responsibilities

  • Architect and deploy scalable machine learning models into production environments.
  • Collaborate with cross-functional teams to integrate generative AI features into our core product stack.
  • Design and maintain data pipelines for high-throughput model training and fine-tuning.
  • Conduct cutting-edge research to improve model performance, latency, and cost-efficiency.
  • Mentor junior engineers and promote best practices in MLOps and software engineering.
  • Stay current with emerging AI research and translate theoretical breakthroughs into commercial applications.
  • Optimize neural network architectures for deployment across distributed cloud infrastructures.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
  • 5+ years of professional experience in deep learning, NLP, or computer vision.
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Deep understanding of transformer architectures and LLM optimization techniques.
  • Extensive experience with MLOps tools (Kubeflow, MLflow, Weights & Biases) and cloud platforms (AWS/GCP).
  • Strong background in distributed computing and data engineering.
  • Proven ability to ship production-grade AI products in a fast-paced environment.

Required Skills

Artificial Intelligence Machine Learning PyTorch Python LLM MLOps Deep Learning Cloud Architecture

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