Job Description
We are on the precipice of the AI revolution, and Nexus Horizon is building the infrastructure for the year 2026. We are seeking a world-class Senior Generative AI Engineer to pioneer the next generation of autonomous agents and multimodal models.
In this role, you won't just maintain existing models; you will architect the neural networks that define the future of human-computer interaction. You will work directly with our CTO and research scientists to push the boundaries of what is possible in Large Language Models (LLMs) and reinforcement learning.
Why join us? We offer a competitive salary, equity packages, and the chance to work on projects that will shape the industry for years to come.
Responsibilities
- Model Architecture: Design and optimize state-of-the-art deep learning architectures for training and inference.
- LLM Engineering: Fine-tune, align, and deploy large language models (GPT-4, Llama 3, etc.) for specific enterprise use cases.
- System Optimization: Implement efficient data pipelines and inference engines to reduce latency and costs.
- Research: Conduct cutting-edge research into emerging AI trends, including AI agents, retrieval-augmented generation (RAG), and multimodal learning.
- Collaboration: Partner with product and engineering teams to translate complex AI capabilities into user-friendly applications.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Programming: Strong proficiency in Python, PyTorch, and TensorFlow.
- Experience: 5+ years of experience in machine learning or deep learning, with a specific focus on Generative AI.
- Technical Skills: Deep understanding of transformer models, attention mechanisms, and NLP fundamentals.
- Tools: Experience with MLOps tools (Docker, Kubernetes, MLflow) and cloud platforms (AWS/GCP).