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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

Nebula Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you a visionary engineer ready to shape the trajectory of Artificial Intelligence? Nebula Future Tech is seeking a Senior AI Engineer to join our elite team in San Francisco. In this role, you won't just build models; you will architect the neural pathways that define the next generation of human-machine interaction. If you are passionate about Large Language Models (LLMs), Generative AI, and ethical technology, we want to hear from you.

We are a cutting-edge organization pushing the boundaries of what is possible in the future of tech. You will work with state-of-the-art hardware and collaborate with world-class researchers to deploy scalable, robust AI solutions that power enterprise-grade applications.

Responsibilities

  • Design and implement scalable machine learning pipelines for Large Language Models (LLMs) and Generative AI applications.
  • Optimize model performance, latency, and throughput for real-time inference environments.
  • Lead the research and development of novel algorithms to solve complex, unstructured data problems.
  • Collaborate with cross-functional teams (Product, Design, Engineering) to translate technical requirements into product features.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Ensure the ethical use of AI, maintaining transparency and fairness in all deployed models.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent professional experience).
  • 5+ years of experience in machine learning, deep learning, or AI engineering.
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of transformer architectures, RAG (Retrieval-Augmented Generation), and fine-tuning techniques.
  • Experience deploying models to production using cloud platforms (AWS, GCP, or Azure).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow LLMs Machine Learning Deep Learning San Francisco California Full-time Remote

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