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Information Technology 🏢 Full Time ⭐️ Verified

Senior Agentic AI Engineer

Nebula Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the intelligent systems of tomorrow? Nebula Future Systems is seeking a visionary Senior Agentic AI Engineer to lead our next-generation autonomous AI initiatives. In 2026, the era of simple chatbots is over. We are building autonomous agents capable of complex reasoning, multi-step planning, and self-correction.

As a key member of our elite AI Research team, you will bridge the gap between theoretical artificial intelligence and scalable production systems. You will be responsible for designing the "brain" of our autonomous agents, ensuring they are safe, ethical, and capable of outperforming traditional models in dynamic environments.

Why Join Us?

  • Work on cutting-edge Agentic AI frameworks that define the industry standard.
  • Competitive equity package and benefits tailored for the future of work.
  • Collaborate with world-class researchers and engineers.

Responsibilities

  • Design and implement autonomous agent architectures using LLMs and reinforcement learning.
  • Develop and optimize prompt engineering pipelines for complex reasoning tasks.
  • Conduct rigorous testing and evaluation of agent safety and alignment.
  • Integrate multi-modal data sources to enhance agent perception and decision-making.
  • Lead the migration of legacy systems to quantum-ready AI infrastructure.
  • Mentor junior engineers and set technical standards for the AI division.

Qualifications

  • 5+ years of experience in Python, PyTorch, or TensorFlow.
  • Deep understanding of Large Language Models (LLMs) and fine-tuning techniques.
  • Experience with Agentic AI frameworks (e.g., LangChain, AutoGPT).
  • Strong background in distributed systems and cloud architecture (AWS/GCP).
  • Familiarity with ethical AI principles and bias mitigation strategies.
  • Proven track record of shipping production-grade machine learning models.

Required Skills

Python PyTorch TensorFlow LLMs Agentic AI LangChain Reinforcement Learning Cloud Architecture AWS GCP

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