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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer - Generative AI Specialist

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

Job Description

We are seeking a visionary Senior AI Engineer to lead the development of our next-generation large language models and generative AI solutions. In this role, you will bridge the gap between theoretical machine learning research and production-grade software engineering, ensuring our AI products are scalable, robust, and ethically sound.

Join a team of world-class researchers and engineers dedicated to pushing the boundaries of artificial intelligence. You will work directly with product leaders to define the roadmap and impact millions of users with intelligent automation.

Responsibilities

  • Architect and deploy scalable machine learning pipelines and MLOps infrastructure using cloud-native technologies.
  • Research, fine-tune, and optimize state-of-the-art foundation models (LLMs) for specific enterprise applications.
  • Collaborate with cross-functional teams to translate complex business requirements into technical AI solutions.
  • Maintain high standards of code quality, documentation, and testing within the AI ecosystem.
  • Stay abreast of the latest advancements in Deep Learning, NLP, and Generative AI.
  • Mentor junior engineers and conduct code reviews to foster a culture of technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in machine learning, deep learning, or natural language processing.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong understanding of LLM architectures, prompt engineering, and RAG pipelines.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
  • Proven track record of delivering high-impact AI products in a fast-paced environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs MLOps AWS Docker Kubernetes Data Science

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