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Information Technology 🏢 Full Time ⭐️ Verified

Senior Agentic AI Engineer (2026 Vision)

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join the Future of Intelligence

We are seeking a visionary Senior Agentic AI Engineer to lead the development of autonomous AI systems for 2026 and beyond. At Nexus Horizon, we are building the infrastructure for the next generation of intelligent agents that can reason, plan, and execute complex tasks. If you are passionate about pushing the boundaries of LLMs and Agentic workflows, this is your opportunity to define the standard for future AI engineering.

What You Will Do:

Design and deploy scalable AI agents using Python and modern ML frameworks.

Implement Retrieval-Augmented Generation (RAG) pipelines to enhance AI context awareness.

Optimize model inference speed and reduce latency for real-time applications.

Collaborate with cross-functional teams to translate business requirements into AI solutions.

Mentor junior engineers and establish best practices for AI development.

Responsibilities

  • Architect and maintain robust Agentic AI frameworks capable of handling complex, multi-step decision processes.
  • Develop and fine-tune Large Language Models (LLMs) using PyTorch and TensorFlow.
  • Integrate vector databases (e.g., Pinecone, Milvus) to support semantic search and knowledge retrieval.
  • Conduct rigorous testing and evaluation of AI agents to ensure accuracy, safety, and reliability.
  • Stay abreast of the latest advancements in AI research and implement cutting-edge techniques.
  • Document system architecture and provide technical leadership to the engineering team.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • 5+ years of professional experience in software engineering and machine learning.
  • Deep expertise in Python, SQL, and containerization (Docker, Kubernetes).
  • Proven experience with LLMs (GPT-4, Claude, Llama) and prompt engineering strategies.
  • Familiarity with MLOps tools and CI/CD pipelines.
  • Strong problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow LLMs RAG Agentic AI MLOps Docker Kubernetes SQL

Ready to Take This Challenge?

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