Job Description
Are you ready to architect the intelligence that powers the world in 2026 and beyond? Zai Horizon is looking for a visionary AI Engineer to lead the next generation of autonomous systems and generative AI solutions. We are not just building software; we are defining the future of human-machine interaction.
In this role, you will push the boundaries of what is possible with Large Language Models (LLMs), computer vision, and predictive analytics. You will work in a high-impact environment where your code directly influences millions of users and drives our strategic roadmap for the year 2026.
Why Join Us?
• Work on cutting-edge technology that defines the future.
• Competitive compensation and equity package.
• Flexible remote-first culture with a hub in San Francisco.
• Focus on ethical AI and scalable infrastructure.
Responsibilities
- Design, develop, and deploy scalable machine learning models and algorithms for production environments.
- Lead the architecture of our AI infrastructure, ensuring high availability, security, and performance.
- Collaborate with cross-functional teams to integrate AI capabilities into our core products.
- Research and prototype novel approaches in Generative AI and NLP to stay ahead of the 2026 tech curve.
- Mentor junior engineers and establish best practices for data science and MLOps.
- Optimize existing models for inference speed and reduced latency.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 5+ years of experience in software engineering with a strong focus on Machine Learning or AI.
- Proficiency in Python, PyTorch, TensorFlow, or JAX.
- Deep experience with MLOps tools (MLflow, Kubeflow, AWS SageMaker).
- Strong understanding of distributed systems and cloud architecture (AWS/GCP).
- Experience with LLMs, RAG architectures, and fine-tuning techniques.
- Excellent problem-solving skills and ability to thrive in a fast-paced, agile environment.