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Lead AI Architect (Generative AI Specialist)

Aether Dynamics
Seattle
Estimated Salary
USD 190.000 – USD 260.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are Aether Dynamics, a cutting-edge research lab building the foundational models for the year 2026 and beyond. We are seeking a visionary Lead AI Architect to spearhead our Generative AI initiatives. If you are passionate about pushing the boundaries of Large Language Models (LLMs), RAG architectures, and multimodal AI, this is your opportunity to define the future of intelligent systems.

Why Join Us?
We offer a competitive compensation package, equity packages, and the chance to work on projects that will reshape industries. You will work in a remote-first environment with a world-class team of engineers and researchers.

Responsibilities

  • Architect and deploy scalable Large Language Model (LLM) infrastructure using PyTorch and TensorFlow.
  • Lead the design and implementation of Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and reduce hallucinations.
  • Optimize model inference latency and throughput for real-time applications.
  • Mentor a team of Senior AI Engineers and Data Scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional product teams to translate business requirements into advanced AI solutions.
  • Ensure AI safety, ethical guidelines, and bias mitigation in all model outputs.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 7+ years of experience in software engineering and machine learning, with at least 3 years leading AI/ML projects.
  • Deep expertise in training, fine-tuning, and deploying foundation models (e.g., GPT-4, Llama, Mistral).
  • Strong proficiency in Python, SQL, and cloud platforms (AWS, GCP, or Azure).
  • Experience with vector databases (Pinecone, Milvus, Weaviate) and MLOps tools (MLflow, Kubeflow).
  • Proven track record of shipping production-ready AI applications.

Required Skills

Python PyTorch TensorFlow Large Language Models (LLMs) RAG MLOps AWS GCP Machine Learning NLP Deep Learning

Ready to Take This Challenge?

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