Job Description
Shape the Future of Autonomous Intelligence. Nexus Horizon AI is leading the charge into 2026, building the next generation of autonomous agents that redefine human-machine collaboration. We are seeking a visionary Senior Agentic AI Architect to lead our core research and engineering team.
In this pivotal role, you will design and deploy self-learning systems capable of complex decision-making, multi-agent orchestration, and autonomous execution. If you are passionate about pushing the boundaries of LLMs and building systems that think, act, and adapt, we want to hear from you.
Why Join Us?
- Work on cutting-edge Agentic workflows before they become mainstream.
- Competitive equity package and performance bonuses.
- Flexible remote-first culture with HQ in San Francisco.
Responsibilities
- Architect and implement scalable multi-agent systems using Python and modern LLM frameworks (LangChain, AutoGen).
- Design robust evaluation frameworks and safety guardrails for autonomous decision-making processes.
- Optimize model inference latency and throughput for edge deployment.
- Collaborate with product teams to define the roadmap for autonomous customer support agents.
- Mentor junior engineers and foster a culture of technical excellence.
- Stay ahead of the curve on emerging research in reinforcement learning and human-in-the-loop systems.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field.
- 5+ years of experience in machine learning, specifically with Large Language Models (LLMs).
- Proven track record of building and deploying production-grade AI applications.
- Deep understanding of prompt engineering, fine-tuning, and RAG architectures.
- Strong programming skills in Python and experience with distributed computing frameworks.
- Excellent problem-solving skills and ability to thrive in a fast-paced startup environment.