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Information Technology 🏢 Full Time ⭐️ Verified

AI Agent Engineer (2026 Vision)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary AI Agent Engineer to architect the autonomous systems of tomorrow. As we prepare for the 2026 technological landscape, we need a specialist who can bridge the gap between Large Language Models (LLMs) and actionable, autonomous workflows. You will be at the forefront of building the next generation of intelligent agents capable of complex reasoning and self-correction.

Why Join Us?

  • Work on cutting-edge Agentic AI technology.
  • Competitive compensation and equity package.
  • Flexible remote-first culture.

If you are passionate about the future of AI and want to build systems that think, learn, and act, we want to hear from you.

Responsibilities

  • Design, develop, and deploy autonomous AI agents capable of handling complex, multi-step tasks without human intervention.
  • Integrate external tools and APIs into agent workflows to enhance functionality and utility.
  • Optimize prompt engineering and context windows to maximize agent performance and accuracy.
  • Collaborate with cross-functional teams to define the roadmap for 2026 AI capabilities.
  • Ensure the ethical use of AI, implementing guardrails and safety protocols for autonomous decision-making.
  • Monitor system performance and iterate on agent logic to improve efficiency and reduce hallucinations.

Qualifications

  • 5+ years of experience in software engineering, with at least 3 years focused on AI/ML applications.
  • Deep proficiency in Python and modern machine learning frameworks (PyTorch, TensorFlow, or JAX).
  • Hands-on experience with LLMs (OpenAI, Anthropic, Llama) and frameworks like LangChain or AutoGen.
  • Strong understanding of vector databases and RAG (Retrieval-Augmented Generation) architectures.
  • Experience building scalable microservices and APIs.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python LLMs LangChain PyTorch RAG Autonomous Agents Machine Learning API Integration

Ready to Take This Challenge?

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