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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
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to architect the future of intelligent systems? Nexus Horizon is seeking a visionary Senior Generative AI Engineer to lead our R&D initiatives for the 2026 technology landscape. We are building the next generation of autonomous agents and generative frameworks that will redefine human-machine interaction.

In this role, you won't just maintain existing models; you will pioneer novel architectures, optimize inference for massive scale, and integrate cutting-edge LLMs into scalable production environments. If you thrive in a high-performance environment and want to leave a lasting impact on the tech industry, apply today.

Why Join Nexus Horizon?

  • Work with the industry's brightest minds on high-impact projects.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with premium benefits.

Join us in shaping the digital reality of tomorrow.

Responsibilities

  • Design, train, and deploy state-of-the-art Generative AI models (LLMs, Diffusion, Agents) for enterprise applications.
  • Optimize model inference latency and throughput to support 2026-scale data demands.
  • Collaborate with cross-functional teams (Data Science, Product, DevOps) to integrate AI capabilities seamlessly.
  • Research and implement novel algorithms to improve model accuracy and reduce hallucinations.
  • Mentor junior engineers and establish best practices for AI model governance and ethics.
  • Stay ahead of the curve on emerging AI trends and evaluate new tools for the engineering stack.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • 5+ years of professional experience in Deep Learning, NLP, or Generative AI.
  • Proficiency in Python, PyTorch, or TensorFlow.
  • Strong experience with vector databases (Pinecone, Weaviate) and RAG architectures.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Exceptional problem-solving skills and a passion for pushing the boundaries of what's possible.

Required Skills

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

Ready to Take This Challenge?

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

Apply Now

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