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Senior Generative AI Engineer (2026 Roadmap)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are seeking a visionary Senior Generative AI Engineer to join Nexus Horizon Labs. As we prepare for the technological paradigm shift of 2026, you will be at the forefront of developing the next generation of autonomous agents and large-scale language models. You will define the architecture for AI systems that will define the future of human-computer interaction.

Why Join Us?

  • Work on cutting-edge research that directly impacts the 2026 roadmap.
  • Competitive equity package and top-tier benefits.
  • Collaborative culture that values innovation and ethical AI development.

If you are passionate about the future of AI and want to build systems that think, learn, and adapt, we want to hear from you.

Responsibilities

  • Architect and deploy scalable Large Language Models (LLMs) optimized for 2026 computing standards.
  • Design fine-tuning strategies for domain-specific generative AI applications.
  • Implement robust RAG (Retrieval-Augmented Generation) pipelines to enhance model accuracy.
  • Optimize inference latency and cost-efficiency in distributed environments.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer products.
  • Stay ahead of the curve on emerging AI research and regulatory frameworks.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of transformer architectures and attention mechanisms.
  • Experience with MLOps tools (Docker, Kubernetes, MLflow) for model deployment.
  • Strong problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow NLP LLMs Generative AI MLOps Docker Kubernetes Machine Learning Deep Learning Attention Mechanisms

Ready to Take This Challenge?

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

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