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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer (Generative Focus)

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are on a mission to redefine the boundaries of artificial intelligence. Nexus Horizon AI is seeking a visionary Senior AI Engineer to lead the development of next-generation generative models and autonomous agents. In this role, you will architect scalable systems that power the future of enterprise intelligence.

As a key member of our R&D division, you will collaborate with world-class researchers and product teams to deploy cutting-edge algorithms that drive real-world impact. We offer a competitive compensation package, equity opportunities, and a culture that prioritizes innovation and technical excellence.

Responsibilities

  • Design, train, and deploy state-of-the-art Large Language Models (LLMs) and diffusion models.
  • Lead the end-to-end machine learning lifecycle, from data pipeline architecture to model serving.
  • Optimize model inference latency and cost while maintaining high accuracy benchmarks.
  • Mentor junior engineers and conduct code reviews to ensure engineering best practices.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Stay abreast of the latest research in Deep Learning and contribute to our internal tech blog.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Proven experience with distributed computing frameworks (e.g., Spark, Kubernetes).
  • Experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools.
  • Excellent communication skills and the ability to present complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs AWS GCP Kubernetes MLOps

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