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Information Technology 🏢 Full Time ⭐️ Verified

Senior Generative AI Engineer

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the intelligent systems of 2026? Nexus Horizon is a pioneering force in the next generation of artificial intelligence. We are seeking a world-class Senior Generative AI Engineer to lead our research initiatives in Large Language Models (LLMs) and autonomous agents.

As a key member of our AI division, you will not just use existing tools; you will push the boundaries of what is possible, building the foundational models that will define the future of human-computer interaction.

Our Mission: To democratize advanced AI capabilities and create solutions that are safe, scalable, and profoundly impactful.

Responsibilities

  • Model Development: Lead the end-to-end development, fine-tuning, and optimization of Generative AI models (e.g., GPT-4, Llama 3, Claude).
  • Infrastructure: Design and implement scalable inference pipelines and MLOps architectures on AWS or GCP.
  • R&D Leadership: Conduct cutting-edge research in prompt engineering, retrieval-augmented generation (RAG), and multimodal learning.
  • Code Quality: Establish and enforce high standards for code reviews, testing, and documentation within the engineering team.
  • Collaboration: Partner closely with product managers and designers to translate complex AI technicalities into intuitive user experiences.

Qualifications

  • Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or NLP.
  • Education: MS or PhD in Computer Science, Mathematics, or a related technical field.
  • Technical Proficiency: Expertise in Python, PyTorch, or TensorFlow.
  • Frameworks: Strong command of Hugging Face, LangChain, or similar LLM orchestration frameworks.
  • Problem Solving: Proven track record of deploying complex models into production environments with high reliability.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLM Generative AI AWS GCP Docker Kubernetes

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