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Senior AI Engineer (LLM Specialist)

Nexus Future Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are at the forefront of the AI revolution, building the intelligent systems that will define the future of work. Nexus Future Technologies is seeking a visionary Senior AI Engineer to lead our next-generation Large Language Model initiatives. In this role, you will architect robust machine learning pipelines and push the boundaries of generative AI.

Join a team of world-class researchers and engineers dedicated to creating AI solutions that are not only powerful but also ethical and scalable. If you are passionate about the future of artificial intelligence and want to make a tangible impact on the industry, we want to hear from you.

Responsibilities

  • Design, train, and deploy cutting-edge Large Language Models (LLMs) for production environments.
  • Optimize transformer architectures for high-speed inference and low latency.
  • Collaborate with cross-functional product teams to define AI requirements and roadmap.
  • Implement MLOps best practices to ensure model reliability, monitoring, and retraining pipelines.
  • Research and evaluate novel techniques in Natural Language Processing (NLP) and semantic understanding.
  • Conduct code reviews and mentor junior engineers to foster a culture of technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering with a focus on deep learning.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of transformer models, Hugging Face, and fine-tuning strategies.
  • Experience with cloud platforms (AWS/GCP) and containerization tools (Docker/Kubernetes).
  • Strong problem-solving skills and ability to navigate ambiguity in fast-paced startup environments.

Required Skills

Python PyTorch TensorFlow LLMs NLP Machine Learning MLOps AWS Kubernetes Generative AI

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