Job Description
Join Nexus Horizon as a 2026 Advanced AI Systems Engineer and help define the technological landscape of the next decade. We are building the foundational infrastructure for autonomous intelligence, aiming to solve complex global challenges through next-generation neural architectures.
In this pivotal role, you will not just build models; you will architect the systems that power the future of enterprise automation, quantum-enhanced computing, and hyper-personalized AI agents.
Why Join Us?
We offer a competitive equity package, flexible remote/hybrid options, and the opportunity to work with top-tier researchers pushing the boundaries of what is possible in 2026.
Responsibilities
- Architect and deploy scalable machine learning infrastructure optimized for high-frequency trading and autonomous agent coordination.
- Research and implement cutting-edge reinforcement learning algorithms to improve decision-making in dynamic environments.
- Collaborate with quantum computing teams to integrate classical AI models with quantum processing units.
- Optimize model inference latency and throughput for edge deployment on next-gen hardware.
- Mentor junior engineers and conduct technical due diligence on emerging AI technologies.
- Drive the migration of legacy data pipelines to real-time, event-driven streaming architectures.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field with a focus on Artificial Intelligence.
- 5+ years of professional experience in building and deploying large-scale ML systems.
- Deep expertise in Python, PyTorch, and TensorFlow.
- Experience with LLM fine-tuning, RAG (Retrieval-Augmented Generation), and LangChain frameworks.
- Strong understanding of distributed systems, cloud architecture (AWS/Azure), and containerization (Kubernetes/Docker).
- Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR).