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Information Technology 🏢 Full Time ⭐️ Verified

Senior Agentic AI Architect - 2026 Specialization

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Shape the Future of Intelligence

We are pioneering the 2026 Agentic AI paradigm. Nexus Future Systems is seeking a visionary Senior Agentic AI Architect to design and deploy autonomous systems that redefine human-machine interaction. You will be at the forefront of building self-driving agents capable of complex reasoning, planning, and execution in dynamic environments.

Why Join Us?

As we prepare for the 2026 technological leap, we offer a competitive compensation package, equity, and the opportunity to work on cutting-edge research that impacts billions. Our culture is built on innovation, transparency, and the relentless pursuit of excellence.

What You'll Do

Your role will be pivotal in architecting the next generation of AI agents. You will bridge the gap between theoretical AI research and production-grade systems.

Responsibilities

  • Architect Autonomous Systems: Design scalable, fault-tolerant architectures for multi-agent environments and self-driving workflows.
  • Optimize Reasoning Loops: Improve the efficiency and accuracy of AI decision-making processes and prompt orchestration.
  • Human-in-the-Loop Integration: Implement feedback mechanisms to refine agent behavior and ensure alignment with human values.
  • Model Deployment: Deploy large language models (LLMs) and multimodal agents to high-availability cloud infrastructure using Kubernetes and Docker.
  • Research Collaboration: Collaborate with data scientists to translate research findings into robust engineering solutions.

Qualifications

  • Experience: 5+ years of experience in software engineering, with a focus on AI/ML systems or distributed systems.
  • Core Tech: Proficiency in Python, Rust, or Go. Experience with PyTorch, TensorFlow, or LangChain.
  • System Design: Strong understanding of microservices, message queues, and high-concurrency systems.
  • AI Expertise: Deep knowledge of LLMs, prompt engineering, and the mechanics of Agentic AI for 2026.
  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.

Required Skills

Agentic AI LLMs Python Rust System Design Kubernetes PyTorch LangChain Autonomous Agents 2026 Technology

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