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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer (Generative Models)

Nexus Core Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to shape the future of artificial intelligence? Nexus Core Systems is on the hunt for a visionary Senior AI Engineer to lead our next-generation Generative AI initiatives. In this pivotal role, you will architect scalable machine learning models and deploy them to production environments, directly impacting how millions of users interact with intelligent systems.

We are looking for a builder who thrives in ambiguity and loves the challenge of pushing the boundaries of what's possible with LLMs and Neural Networks. Join a diverse team of world-class researchers and engineers committed to ethical AI development.

Why Join Us?

  • Impactful Work: Build AI solutions that solve real-world problems.
  • Competitive Compensation: Top-tier salary and equity packages.
  • Flexible Culture: Remote-first work with a focus on work-life balance.

Responsibilities

  • Design, train, and fine-tune large-scale foundation models using Python and deep learning frameworks.
  • Optimize inference pipelines to ensure low latency and high throughput in production environments.
  • Collaborate with cross-functional teams (Product, Data Science, Engineering) to translate business requirements into technical solutions.
  • Implement rigorous testing strategies and MLOps best practices to maintain model integrity.
  • Stay at the forefront of AI research and evaluate emerging technologies to drive innovation.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • 5+ years of professional experience in Machine Learning, Deep Learning, or NLP.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Deep understanding of transformer architectures, attention mechanisms, and LLMs.

Required Skills

Python PyTorch TensorFlow NLP Machine Learning Deep Learning AWS Docker Kubernetes LLM GPT Transformers

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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