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Information Technology 🏢 Full Time ⭐️ Verified

Senior Agentic AI Engineer - 2026 Vision

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are on the precipice of a technological revolution. As we look toward the transformative year of 2026, Aether Dynamics is seeking a visionary Senior Agentic AI Engineer to lead our next-generation autonomous systems.

In this role, you won't just be maintaining legacy code; you will architect the brain of the future. We are building agents that don't just complete tasks—they anticipate needs, learn from dynamic environments, and redefine human-computer interaction.

If you are passionate about the trajectory of AI and want to leave your mark on the infrastructure of tomorrow, we want to hear from you.

Responsibilities

  • Architect and deploy Autonomous Agentic Workflows capable of complex decision-making in real-time environments.
  • Lead the research and implementation of Next-Gen LLMs and multimodal models optimized for 2026 standards.
  • Collaborate with cross-functional teams to integrate AI agents into scalable enterprise solutions.
  • Establish ethical guidelines and safety protocols for autonomous AI systems.
  • Prioritize model interpretability, robustness, and fault tolerance in high-stakes scenarios.
  • Contribute to open-source communities and publish research papers defining the future of AI.

Qualifications

  • PhD or Master’s degree in Computer Science, AI, or a related quantitative field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or Reinforcement Learning.
  • Proficiency in Python, PyTorch, and TensorFlow.
  • Proven track record of deploying scalable AI models in production environments.
  • Strong understanding of Large Language Models (LLMs), RAG, and Vector Databases.
  • Excellent communication skills with the ability to translate technical concepts for diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Reinforcement Learning LLM NLP AI Architecture CUDA Cloud Computing (AWS/GCP)

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