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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/LLM Architect (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are looking for a visionary Senior AI/LLM Architect to lead the development of our next-generation artificial intelligence infrastructure. As we prepare for the technological landscape of 2026, you will be at the forefront of designing autonomous agents, advanced natural language processing models, and ethical AI systems that redefine human-computer interaction. Join us in building the intelligent future of the web.

Why Join Nexus Future Labs?

  • Work on cutting-edge Agentic AI workflows.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with global hubs.
  • Access to state-of-the-art compute resources.

Responsibilities

  • Design and implement scalable Large Language Model (LLM) architectures tailored for enterprise applications.
  • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and reduce hallucinations.
  • Lead the research and deployment of 2026-ready AI agents capable of autonomous multi-step reasoning.
  • Collaborate with cross-functional teams (Product, Engineering, Legal) to ensure AI safety, transparency, and compliance with emerging regulations.
  • Mentor junior data scientists and engineers, fostering a culture of innovation and continuous learning.
  • Conduct performance benchmarking and fine-tuning of models to achieve industry-leading latency and throughput.

Qualifications

  • 5+ years of professional experience in Machine Learning, Deep Learning, or Artificial Intelligence.
  • Proven expertise in training, fine-tuning, and deploying large-scale models (e.g., GPT, Llama, BERT).
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of vector databases (e.g., Pinecone, Milvus) and semantic search technologies.
  • Experience with cloud platforms (AWS, GCP, or Azure) and MLOps practices.
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow LLM NLP Machine Learning Deep Learning MLOps AWS GCP RAG Vector Databases AI Safety

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