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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Agent Engineer - 2026 Vision

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Nexus Horizon Labs is pioneering the next frontier of intelligent software. We are building the autonomous systems that will define the year 2026 and beyond. We are looking for a visionary Senior AI Agent Engineer to join our elite research division.

In this role, you will architect self-healing, multi-agent systems capable of complex reasoning and real-world execution. You will bridge the gap between theoretical AI and practical application, ensuring our agents are safe, efficient, and scalable.

If you are obsessed with the potential of Artificial General Intelligence and want to build the infrastructure for tomorrow's internet, apply today.

Responsibilities

  • Design and implement scalable autonomous agent architectures using modern LLM orchestration frameworks.
  • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance agent knowledge bases.
  • Create robust safety guardrails and evaluation benchmarks to ensure AI reliability in production.
  • Collaborate with cross-functional teams to integrate agentic workflows into consumer and enterprise products.
  • Mentor junior engineers and contribute to the technical roadmap for the 2026 AI evolution.
  • Experiment with multimodal inputs to enhance agent perception and decision-making capabilities.

Qualifications

  • 5+ years of professional experience in software engineering, with a focus on Machine Learning or AI.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven experience building and deploying LLM-based applications using LangChain, LlamaIndex, or similar.
  • Strong understanding of vector databases, embeddings, and semantic search.
  • Experience with MLOps practices, CI/CD, and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, experimental environment.

Required Skills

Python Machine Learning LLMs LangChain MLOps Docker Kubernetes AI Architecture RAG PyTorch

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