Job Description
We are on a mission to define the future of intelligent systems. Nexus Future Labs is seeking a visionary Senior Generative AI Engineer to lead the development of next-generation Large Language Models (LLMs) and multimodal AI solutions. In this role, you will bridge the gap between cutting-edge research and scalable production infrastructure, shaping how millions of users interact with AI in the coming years.
If you are passionate about pushing the boundaries of AI, possess deep technical expertise, and thrive in a fast-paced, innovative environment, we want to hear from you.
Why Join Us?
- Work on state-of-the-art AI architectures.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a focus on innovation.
Responsibilities
- Design, train, and fine-tune large-scale transformer models using PyTorch and TensorFlow.
- Optimize inference pipelines for low-latency, high-throughput applications.
- Collaborate with cross-functional teams to integrate AI models into core product features.
- Implement rigorous testing and evaluation frameworks to ensure model accuracy and safety.
- Mentor junior engineers and contribute to the technical vision of the AI research division.
- Stay abreast of the latest advancements in NLP, computer vision, and generative AI.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related field.
- 5+ years of professional experience in machine learning or deep learning engineering.
- Strong proficiency in Python, CUDA, and distributed computing frameworks (e.g., Apache Spark, Ray).
- Deep understanding of transformer architectures (BERT, GPT, LLaMA).
- Experience deploying models to production environments (AWS, GCP, or Azure).
- Proven track record of publishing research or delivering impactful AI products.
- Excellent problem-solving skills and ability to work in a collaborative agile environment.