Job Description
Shape the Future of Intelligence
We are looking for a visionary Senior AI Architect to join Nexus Horizon Technologies. As we race toward the technological horizon of 2026, our mission is to redefine human-computer interaction through advanced Generative AI and autonomous agents. You will be at the forefront of designing the systems that think, learn, and adapt at scale.
In this role, you will move beyond traditional machine learning to architect next-generation Large Language Models (LLMs) and Agentic workflows. If you are passionate about ethical AI, system scalability, and pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.
Why Join Nexus Horizon?
- Work with cutting-edge hardware and open-source models.
- Competitive equity package and 401(k) matching.
- Unlimited PTO and remote-first culture.
Responsibilities
- Architect LLM Pipelines: Design and implement robust Retrieval-Augmented Generation (RAG) architectures and fine-tuning strategies for proprietary datasets.
- Production Optimization: Optimize model inference speed and memory usage for real-time, high-volume applications.
- System Integration: Bridge the gap between theoretical AI research and practical, user-facing product features.
- Ethical AI Governance: Establish guidelines and guardrails to ensure model safety, bias mitigation, and compliance with evolving regulations.
- Technical Leadership: Mentor junior engineers and conduct code reviews to maintain high engineering standards across the AI team.
Qualifications
- Education: Master’s degree in Computer Science, Machine Learning, or a related technical field (PhD preferred).
- Technical Stack: Deep expertise in Python, PyTorch, or TensorFlow.
- Modeling: Extensive experience with Transformer architectures, LLMs (GPT, Llama, Claude), and prompt engineering frameworks (LangChain, Hugging Face).
- Experience: 5+ years of experience in machine learning engineering, with a focus on deploying models to production.
- Problem Solving: Strong ability to debug complex distributed systems and optimize GPU utilization.