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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

Nexus Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

Join Nexus Innovations as we redefine the boundaries of artificial intelligence. We are seeking a visionary Senior AI Engineer to lead the development of next-generation machine learning systems. In this role, you will work directly with our core engineering team to build scalable, high-performance AI solutions that impact millions of users globally. If you are passionate about Generative AI, Large Language Models (LLMs), and building the future of technology, we want to hear from you.


Why Join Us?

  • Competitive compensation and equity package.
  • Flexible remote-first work culture.
  • Access to cutting-edge hardware and cloud resources.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and pipelines for production environments.
  • Lead the research and implementation of state-of-the-art algorithms in Natural Language Processing (NLP) and Computer Vision.
  • Collaborate with data scientists, product managers, and engineers to translate business requirements into technical AI solutions.
  • Optimize existing models for latency, throughput, and cost efficiency.
  • Mentor junior engineers and contribute to the technical roadmap of the AI department.
  • Ensure the security, privacy, and ethical use of AI models.

Qualifications

  • Master’s degree or Ph.D. in Computer Science, Mathematics, or a related technical field (or equivalent practical experience).
  • 5+ years of professional experience in machine learning engineering, software engineering, or data science.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of machine learning concepts, including deep learning architectures, transfer learning, and model optimization.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Experience with vector databases and RAG (Retrieval-Augmented Generation) architectures.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AWS GCP Docker Kubernetes NLP LLMs Natural Language Processing

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