Job Description
Are you ready to architect the intelligence of tomorrow? Nexus Future Labs is seeking a visionary Principal AI Research Engineer to spearhead the development of our next-generation Agentic AI systems for the year 2026 and beyond. In this pivotal role, you will define the technical roadmap for autonomous agents, pushing the boundaries of what is possible with Large Language Models (LLMs) and multi-modal reasoning.
We are not just building software; we are defining the future of human-machine interaction. You will lead a world-class team of researchers and engineers, bridging the gap between theoretical breakthroughs and production-ready systems. If you are passionate about ethical AI, scalability, and creating tools that empower humanity, this is your opportunity to make an indelible mark on the industry.
Why Join Us?
- Revolutionary Impact: Work on projects that define the next decade of technology.
- Top-Tier Compensation: Competitive salary and equity packages.
- Autonomy: High degree of ownership and creative freedom.
Responsibilities
- Architect Scalable AI Systems: Design and implement robust, scalable infrastructure for Agentic AI and Generative Models.
- Lead Research Initiatives: Spearhead research projects focusing on autonomous decision-making, reasoning, and memory mechanisms.
- Publish & Patent: Author high-impact academic papers and secure patents for novel AI methodologies.
- Mentorship: Guide and mentor junior researchers and engineers, fostering a culture of innovation and excellence.
- Collaborate Cross-Functionally: Partner with product teams to translate complex AI capabilities into user-centric applications.
- Optimize Performance: Continuously refine model accuracy, latency, and efficiency for real-world deployment.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field (or equivalent professional experience).
- Experience: 7+ years of experience in machine learning, deep learning, or artificial intelligence research.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX; strong background in Natural Language Processing (NLP).
- Architecture: Proven track record of designing large-scale distributed systems and MLOps pipelines.
- Soft Skills: Exceptional communication skills with the ability to articulate complex technical concepts to diverse audiences.
- Passion: Deep interest in the future of AI and ethical AI development practices.