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Information Technology 🏒 Full Time ⭐️ Verified

Senior Generative AI Engineer

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 170.000 – USD 240.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Are you ready to define the trajectory of artificial intelligence for the year 2026? Nexus Horizon Systems is seeking a visionary Senior Generative AI Engineer to lead our next-generation R&D division in San Francisco.

We are building the cognitive engines that will power the future of enterprise. As a key member of our team, you will architect, train, and deploy cutting-edge Large Language Models (LLMs) and multimodal AI systems. This is not just a job; it is an opportunity to shape the technological landscape of the next decade.

Key Highlights:

  • Work on proprietary AI architectures with high visibility.
  • Competitive compensation and equity package.
  • Access to the latest hardware for AI research (NVIDIA H100 clusters).

Join us in creating the intelligent systems of tomorrow.

Responsibilities

  • Design and implement scalable Generative AI pipelines, focusing on LLMs and Transformers.
  • Optimize model inference speed and reduce latency for real-time applications.
  • Lead the research and fine-tuning of foundation models for specific industry verticals.
  • Collaborate with product and engineering teams to integrate AI features seamlessly.
  • Establish best practices for MLOps, including model versioning and monitoring.
  • Mentor junior engineers and data scientists within the research group.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in Machine Learning or Deep Learning.
  • Deep proficiency in Python, PyTorch, and TensorFlow.
  • Proven experience deploying LLMs (e.g., GPT, BERT, LLaMA) in production environments.
  • Strong understanding of NLP, RAG (Retrieval-Augmented Generation), and vector databases.
  • Excellent problem-solving skills and ability to thrive in a fast-paced, innovative environment.

Required Skills

Python PyTorch TensorFlow NLP Machine Learning Deep Learning LLM RAG MLOps Transformers

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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