Job Description
Shape the Future of Intelligence at Nexus Horizon.
Nexus Horizon is pioneering the next era of artificial intelligence, and we are seeking a visionary Senior AI Engineer to lead our 2026 strategic roadmap. If you are passionate about building scalable, ethical, and transformative machine learning systems, this is your opportunity to work at the frontier of technology.
In this role, you will not just write code; you will architect the cognitive infrastructure of tomorrow. You will work alongside world-class researchers and engineers to develop models that redefine human-machine interaction. We offer a competitive compensation package, equity packages, and a culture that fosters radical innovation.
Responsibilities
- Architect Next-Gen Models: Lead the design and implementation of cutting-edge Deep Learning and Large Language Model (LLM) architectures tailored for the 2026 tech landscape.
- Optimize Performance: Engineer high-performance, low-latency inference systems capable of handling massive real-time data streams.
- Strategic Roadmapping: Collaborate with the CTO to define the technical vision and roadmap for future AI capabilities.
- Ethical AI Advocacy: Ensure all models adhere to strict ethical guidelines, bias mitigation protocols, and safety standards.
- Team Mentorship: Guide junior engineers and data scientists, conducting code reviews and fostering a culture of continuous learning.
- Production Deployment: Manage the full lifecycle of AI models from research prototype to production-grade microservices.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field (or equivalent professional experience).
- Experience: 5+ years of experience in building and deploying production-grade machine learning systems.
- Technical Proficiency: Expert-level knowledge in Python, TensorFlow, PyTorch, and Hugging Face Transformers.
- System Design: Strong understanding of distributed systems, cloud architecture (AWS/GCP), and MLOps pipelines.
- Problem Solving: Demonstrated ability to tackle complex, unstructured problems with innovative algorithmic solutions.
- Communication: Excellent ability to translate complex technical concepts for non-technical stakeholders.