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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - Generative AI Specialist

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are looking for a visionary Senior AI Architect to join our elite team at Nexus Future Labs. We are building the infrastructure for the next generation of artificial intelligence, focusing on Agentic AI, Large Language Models (LLMs), and autonomous reasoning systems.

In this role, you will not just deploy models; you will architect the future of intelligent software. You will work on cutting-edge projects that redefine how humans interact with machines in 2026 and beyond.

Why Join Us?
• Work with the best minds in the industry on next-gen AI.
• Competitive compensation and equity package.
• Remote-first culture with headquarters in San Francisco.

Responsibilities

  • Design and implement scalable architectures for Generative AI and LLM applications.
  • Optimize model inference pipelines for real-time, high-volume environments.
  • Lead the research and development of novel prompt engineering strategies and retrieval-augmented generation (RAG) frameworks.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer-facing products.
  • Evaluate and benchmark state-of-the-art models (e.g., GPT-4, Claude, Llama) and fine-tune for specific use cases.
  • Mentor junior engineers and data scientists on best practices in deep learning.

Qualifications

  • PhD or Master's degree in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of NLP, transformer architectures, and tokenization techniques.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of deploying AI models into production environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Large Language Models Generative AI RAG Docker Kubernetes AWS GCP

Ready to Take This Challenge?

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