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Senior AI Engineer - Generative Models

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

We are seeking a visionary Senior AI Engineer to join our elite team and define the future of intelligent systems. As a leader in the tech industry, Nexus Future Systems is building next-generation Generative AI solutions that redefine human-machine interaction. You will be at the forefront of innovation, working on cutting-edge Large Language Models (LLMs) and computer vision applications.

Why Join Us?

  • Work with state-of-the-art hardware and cloud infrastructure.
  • Competitive compensation package and equity options.
  • Flexible remote-first policy with a focus on innovation.
  • Opportunity to mentor junior engineers and shape technical culture.

If you are passionate about pushing the boundaries of what AI can achieve, we want to hear from you.

Responsibilities

  • Design, develop, and deploy scalable machine learning models, specifically focusing on Generative AI and LLMs.
  • Optimize model inference and training pipelines to achieve high performance and low latency.
  • Collaborate with cross-functional teams of data scientists, product managers, and engineers to define AI product requirements.
  • Conduct cutting-edge research to stay ahead of industry trends and implement novel architectures.
  • Mentor and guide junior team members on best practices in MLOps and software engineering.
  • Ensure ethical AI practices and data privacy compliance in all model deployments.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, or a related technical field.
  • Minimum of 5 years of professional experience in AI/ML engineering.
  • Strong proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).
  • Proven experience with Large Language Models (GPT, Llama, BERT) and fine-tuning methodologies.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch NLP LLMs MLOps AWS Docker Kubernetes Machine Learning Deep Learning Python Generative AI Model Fine-tuning Data Pipelines

Ready to Take This Challenge?

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