Job Description
We are on the precipice of a new era in artificial intelligence. Nexus Future Systems is seeking a visionary Senior AI Research Engineer to lead our initiatives in Large Language Model optimization and Generative AI deployment. If you are passionate about the future of technology and want to define how humanity interacts with machines in 2026 and beyond, this is your opportunity.
As a key member of our elite R&D division, you will architect scalable neural networks and drive innovation in natural language processing. We are not just building software; we are engineering the cognitive infrastructure of tomorrow.
Responsibilities
- Design and implement cutting-edge algorithms for Large Language Models (LLMs) and multimodal systems.
- Lead the research and development of proprietary generative AI frameworks for enterprise applications.
- Optimize model inference speeds and reduce latency for real-time, high-volume applications.
- Collaborate with cross-functional teams to integrate AI solutions seamlessly into production environments.
- Establish best practices for AI ethics, safety, and compliance in model training.
- Publish research findings and contribute to the open-source AI community.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in AI/ML engineering or academic research.
- Strong proficiency in Python, PyTorch, TensorFlow, and modern deep learning libraries.
- Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR, or equivalent).
- Experience with distributed computing, GPU optimization, and cloud infrastructure (AWS/GCP/Azure).
- Exceptional problem-solving skills and a deep understanding of statistical learning theory.