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Information Technology 🏒 Full Time ⭐️ Verified

Senior Generative AI Engineer

Nexus AI Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join the Future of Intelligence

We are seeking a visionary Senior Generative AI Engineer to lead the development of next-generation Large Language Models (LLMs) and autonomous agents. At Nexus AI Systems, we are building the infrastructure that powers the digital economy of 2026 and beyond. You will have the opportunity to work on cutting-edge projects that redefine human-computer interaction, leveraging state-of-the-art transformer architectures and reinforcement learning techniques.

Why Join Us?

β€’ Work with a world-class team of researchers and engineers.

β€’ Competitive compensation package and equity options.

β€’ Flexible remote-first policy with opportunities for in-office collaboration in San Francisco.

β€’ Access to the latest hardware and cloud resources for research.

Responsibilities

  • Design, train, and fine-tune large-scale generative models using modern deep learning frameworks (PyTorch, TensorFlow).
  • Architect scalable inference pipelines and MLOps systems to deploy models into production environments with high availability and low latency.
  • Research and implement novel techniques in Natural Language Processing (NLP), including Retrieval-Augmented Generation (RAG) and prompt engineering.
  • Collaborate with product managers and designers to integrate AI capabilities seamlessly into user-facing applications.
  • Evaluate model performance, interpretability, and bias to ensure ethical and responsible AI deployment.

Qualifications

  • Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in machine learning, deep learning, or NLP.
  • Strong proficiency in Python and experience with PyTorch or TensorFlow.
  • Deep understanding of transformer architectures, attention mechanisms, and generative model training.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow NLP LLM GPT MLOps Docker Kubernetes AWS Machine Learning Deep Learning Transformer RAG

Ready to Take This Challenge?

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