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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Agent Engineer

Nexus Horizon
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Join the Future of Intelligent Systems

Nexus Horizon is revolutionizing how enterprises interact with data through autonomous AI agents. We are seeking a visionary Senior AI Agent Engineer to lead the development of next-generation agentic workflows. If you are passionate about pushing the boundaries of LLMs, RAG architectures, and multi-agent systems, this is your opportunity to build the infrastructure that powers the future.

Why Join Us?

  • Work with cutting-edge technology in a remote-first, high-impact environment.
  • Competitive compensation and equity package.
  • Focus on impactful, real-world AI solutions.

Responsibilities

  • Architect and deploy robust AI agents capable of complex, multi-step reasoning and task execution.
  • Design and optimize Retrieval-Augmented Generation (RAG) pipelines to ensure high-fidelity data retrieval.
  • Integrate and fine-tune Large Language Models (LLMs) for specific enterprise use cases.
  • Collaborate with cross-functional teams to define product requirements and technical roadmaps.
  • Mentor junior engineers and establish best practices for MLOps and model governance.
  • Monitor model performance and implement continuous improvement strategies to reduce latency and costs.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field (or equivalent professional experience).
  • 5+ years of professional experience in software engineering, machine learning, or AI research.
  • Deep proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong experience with vector databases (e.g., Pinecone, Milvus) and LLM frameworks (e.g., LangChain, LlamaIndex).
  • Proven track record of shipping production-grade machine learning models.
  • Excellent problem-solving skills and ability to thrive in a fast-paced, agile environment.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch LLMs RAG LangChain MLOps Generative AI

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