Job Description
Define the Technology of Tomorrow
Nexus Horizon Systems is on a mission to pioneer the next generation of intelligent systems. As we look toward the technological horizon of 2026, we are seeking a visionary Senior Generative AI Engineer to join our elite engineering team. You will be responsible for building scalable, state-of-the-art Large Language Models (LLMs) that will power the next wave of digital transformation.
In this high-impact role, you won't just be maintaining existing systems; you will be architecting the foundation for the future. We offer a competitive compensation package, equity opportunities, and a culture that prioritizes innovation and technical excellence.
Responsibilities
- Model Development: Design, train, and fine-tune advanced generative models (e.g., GPT, LLaMA, custom architectures) to solve complex business problems.
- Production Deployment: Engineer robust MLOps pipelines to deploy models into production environments, ensuring high availability, low latency, and seamless scalability.
- Technical Leadership: Lead architecture reviews and mentor a team of data scientists and engineers, fostering a culture of continuous learning and technical rigor.
- Performance Optimization: Continuously optimize model inference speeds and resource utilization to reduce operational costs while maximizing output quality.
- Research Integration: Stay ahead of the curve by integrating cutting-edge research findings from top-tier conferences into our proprietary technology stack.
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field, or equivalent professional experience.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Experience: 5+ years of experience in Machine Learning Engineering, specifically within NLP and Generative AI domains.
- Infrastructure: Strong experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker/Kubernetes), and CI/CD workflows.
- Problem Solving: Demonstrated ability to troubleshoot complex system issues and deliver production-grade software under tight deadlines.