Job Description
We are at the precipice of a new era in artificial intelligence. Aether Dynamics is seeking a visionary Senior AI Architect to lead the engineering of our flagship autonomous agents for the 2026 ecosystem.
As the industry shifts from Generative AI to Agentic AI, we need a leader who understands not just the mathematics of Transformers, but the architecture of autonomous decision-making. You will define the technical roadmap for our next-generation Large Language Models (LLMs) and Multimodal systems.
Why join us? We offer competitive equity, remote-first flexibility, and the opportunity to build the infrastructure that powers the future of enterprise automation.
Responsibilities
- Architect and deploy scalable, high-performance Generative AI models (LLMs) using PyTorch and Rust.
- Design and implement Agentic AI workflows that enable autonomous problem-solving and tool usage.
- Optimize model inference latency and reduce token costs by 40% through advanced quantization and pruning.
- Lead the research and implementation of Reinforcement Learning from Human Feedback (RLHF) and Constitutional AI.
- Establish rigorous safety and alignment protocols to ensure AI outputs are ethical and reliable.
- Collaborate with cross-functional product teams to translate futuristic roadmaps into production-ready code.
- Mentor a team of junior ML engineers and data scientists, fostering a culture of innovation.
Qualifications
- Master’s degree in Computer Science, Machine Learning, or a related technical field (PhD preferred).
- 5+ years of experience in machine learning engineering, with 2+ years specifically in Generative AI or LLMs.
- Deep expertise in Python, PyTorch, TensorFlow, and modern MLOps tooling (MLflow, Kubeflow).
- Proven track record of fine-tuning or pre-training large-scale language models on proprietary datasets.
- Strong understanding of distributed systems, high-availability architecture, and cloud infrastructure (AWS/GCP).
- Experience with multi-modal AI (Vision-Language Models) is a major plus.