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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Large Language Model Architect

Aether Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are seeking a visionary Senior AI & Large Language Model Architect to lead the next generation of intelligent systems at Aether Dynamics. As we prepare for the technological landscape of 2026, we are building the infrastructure for autonomous agents and multimodal reasoning that will redefine industry standards.

In this role, you will not just write code; you will architect the future. You will bridge the gap between theoretical deep learning and production-grade applications, ensuring our AI solutions are scalable, safe, and revolutionary.

Why Join Us?

  • Future-Ready Tech Stack: Work with cutting-edge frameworks and hardware acceleration.
  • Global Impact: Deploy models that power next-gen applications.
  • Competitive Compensation: Top-tier salary and equity package in the booming US tech market.

Responsibilities

  • Design and implement proprietary Large Language Model (LLM) architectures optimized for enterprise use-cases.
  • Lead the research and development of Autonomous Agent frameworks, ensuring reasoning capabilities exceed current benchmarks.
  • Oversee the end-to-end MLOps lifecycle, from model training and fine-tuning (RLHF) to deployment and monitoring.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business needs into AI solutions.
  • Establish best practices for AI safety, fairness, and ethical use of technology.
  • Optimize model inference latency and reduce operational costs using edge computing and quantization techniques.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or NLP.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of Transformer architectures and attention mechanisms.
  • Experience deploying models on cloud platforms (AWS, GCP, or Azure) with containerization (Docker/Kubernetes).
  • Strong background in Reinforcement Learning from Human Feedback (RLHF) and prompt engineering.
  • Proven track record of leading technical projects and mentoring junior engineers.

Required Skills

Python PyTorch TensorFlow MLOps NLP LLMs Machine Learning AWS Kubernetes Docker Transformer Models Reinforcement Learning

Ready to Take This Challenge?

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

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