Job Description
Are you ready to shape the technological landscape of 2026 and beyond? Nexus Future Labs is seeking a visionary Principal AI Research Engineer to lead our cutting-edge research division.
In this pivotal role, you will architect the next generation of autonomous AI agents and multimodal foundation models. We are not just building software; we are defining the future of human-computer interaction. If you possess a deep understanding of generative AI, large-scale distributed systems, and the ethical implications of AI, we want to hear from you.
Join us in building the infrastructure that will power the digital economy of the future.
Responsibilities
- Lead the architectural design and development of proprietary Large Language Models (LLMs) and agentic AI systems targeting deployment by 2026.
- Oversee the full machine learning lifecycle, from data pipeline architecture to model fine-tuning and evaluation.
- Implement rigorous safety and alignment protocols to ensure model reliability and mitigate hallucinations.
- Publish high-impact research papers and contribute to the global open-source community.
- Collaborate with product teams to translate complex research into scalable, production-ready AI features.
- Establish best practices for AI ethics, privacy, and regulatory compliance in emerging markets.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
- 10+ years of professional experience in Deep Learning, Natural Language Processing (NLP), or Reinforcement Learning.
- Expert proficiency in Python, PyTorch, TensorFlow, and Hugging Face ecosystems.
- Proven track record of deploying complex AI models to high-traffic production environments.
- Strong understanding of vector databases, RAG architectures, and transformer-based models.
- Experience in leading research teams and mentoring junior engineers and data scientists.