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Information Technology 🏒 Full Time ⭐️ Verified

Senior Generative AI Architect (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

At Nexus Horizon Labs, we are engineering the cognitive infrastructure of tomorrow. As we look toward the autonomous AI paradigms of 2026, we are seeking a visionary Senior Generative AI Architect to lead our next-generation model research and deployment.

We are not just building chatbots; we are constructing self-evolving systems capable of complex reasoning, multi-modal synthesis, and autonomous agent orchestration. If you are passionate about pushing the boundaries of what is possible with Large Language Models (LLMs) and are eager to define the standard for AI in the near future, we want to hear from you.

Why Join Us?

  • Future-Proof Technology: Work on cutting-edge Agentic AI and RAG systems.
  • Unlimited PTO & Remote Flexibility: We trust our team to manage their time effectively.
  • Equity Package: Be a shareholder in the future of AI.

Responsibilities

  • Architect and deploy scalable, high-performance Generative AI models tailored for enterprise integration.
  • Design and implement advanced Retrieval-Augmented Generation (RAG) pipelines to minimize hallucinations and maximize factual accuracy.
  • Optimize model inference speed and cost-efficiency using techniques like quantization, distillation, and pruning.
  • Collaborate with product teams to translate complex AI capabilities into intuitive user experiences.
  • Research and prototype novel architectures for multimodal AI agents.
  • Establish best practices for prompt engineering, fine-tuning, and continuous learning systems.

Qualifications

  • Master’s degree or PhD in Computer Science, Machine Learning, or a related technical field.
  • 5+ years of professional experience building, deploying, and optimizing Deep Learning models.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of Transformer architectures, Attention mechanisms, and Vector Databases (Pinecone, Milvus, Weaviate).
  • Experience with MLOps tools (Docker, Kubernetes, MLflow) and cloud platforms (AWS, GCP, Azure).
  • Strong grasp of ethical AI principles and safety alignment techniques (RLHF, Constitutional AI).

Required Skills

Python PyTorch TensorFlow LLMs RAG Generative AI Hugging Face MLOps MLOps Vector Databases Machine Learning Engineering Deep Learning AWS GCP Docker Kubernetes PyTorch Fine-tuning RLHF NLP Transformers

Ready to Take This Challenge?

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

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