Job Description
Are you ready to shape the intelligence of tomorrow? Nexus Horizon Technologies is seeking a visionary Senior Generative AI Engineer to lead the development of next-generation agentic workflows and multimodal large language models. As we look toward the future of 2026, we need a pioneer who can bridge the gap between theoretical AI and real-world application.
In this high-impact role, you will architect systems that not only generate content but autonomously reason and solve complex problems. You will work with a world-class team of researchers and engineers to push the boundaries of what is possible with LLMs, ensuring our solutions are scalable, secure, and transformative.
Why join us? We offer top-tier compensation, equity packages, and the opportunity to define the standard for AI in the enterprise sector.
Responsibilities
- Architect and deploy scalable Large Language Model (LLM) pipelines optimized for low-latency inference.
- Develop and fine-tune foundation models using PyTorch and TensorFlow on massive datasets.
- Implement Retrieval-Augmented Generation (RAG) architectures to enhance model accuracy and reduce hallucinations.
- Design 'Agent' systems capable of autonomous task planning and execution within enterprise environments.
- Collaborate with product managers to translate complex AI capabilities into user-friendly features.
- Ensure robust data privacy, security compliance, and ethical AI governance in all deployed models.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- 7+ years of experience in software engineering and machine learning engineering.
- Deep proficiency in Python, C++, and GPU acceleration frameworks (CUDA, cuDNN).
- Extensive experience with Transformer architectures, Hugging Face, and LangChain.
- Proven track record of optimizing model performance (quantization, pruning, distillation).
- Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).