Job Description
Shape the Future of Intelligence.
Nexus AI Innovations is seeking a visionary Senior Generative AI Engineer to lead our next-generation model development initiatives. We are building the core infrastructure for the AI era of 2026 and beyond, focusing on scalable, safe, and transformative Large Language Models (LLMs).
As a key member of our R&D team, you will architect the next leap in generative capabilities, optimizing models for real-world enterprise applications while ensuring ethical AI standards. If you are passionate about pushing the boundaries of what's possible with deep learning and want to work in the heart of Silicon Valley, this is your opportunity.
Responsibilities
- Design and deploy end-to-end generative AI pipelines, including LLM fine-tuning, RAG (Retrieval-Augmented Generation), and prompt engineering frameworks.
- Optimize model inference latency and reduce token costs through aggressive quantization and model pruning strategies.
- Collaborate with cross-functional teams of data scientists, product managers, and engineers to translate business requirements into cutting-edge technical solutions.
- Research and implement state-of-the-art architectures (e.g., Transformers, Diffusion Models) to improve model accuracy and creativity.
- Mentor junior engineers and conduct code reviews to maintain high standards of technical excellence.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- 5+ years of professional experience in Machine Learning, Deep Learning, or NLP.
- Strong proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Proven track record of deploying models to production using cloud infrastructure (AWS, GCP, or Azure).
- Deep understanding of LLM architectures, training methodologies, and evaluation metrics.