Job Description
Join Nexus Horizon, a pioneering tech firm redefining the landscape of artificial intelligence for the year 2026. We are looking for a visionary Senior AI Engineer to lead our advanced research division. In this pivotal role, you will architect scalable, next-generation machine learning systems that will power our global platform. If you are passionate about the future of AI and want to build the infrastructure of tomorrow, today, we want to hear from you.
We offer a competitive salary, comprehensive health benefits, and the opportunity to work with world-class talent in a dynamic, innovative environment.
Responsibilities
- Lead the architectural design and deployment of large-scale generative AI models optimized for 2026 enterprise standards.
- Conduct cutting-edge research in Natural Language Processing (NLP) and Computer Vision to drive product innovation.
- Collaborate with product managers and data scientists to translate complex business requirements into robust AI solutions.
- Implement and maintain MLOps pipelines to ensure model reliability, scalability, and automated retraining.
- Mentor junior engineers and conduct technical code reviews to uphold the highest engineering standards.
- Define and enforce best practices for data privacy, ethics, and bias mitigation in AI systems.
- Stay ahead of the curve by integrating emerging technologies into our core technology stack.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 7+ years of professional experience in software development and machine learning engineering.
- Deep proficiency in Python, PyTorch, TensorFlow, and modern C++.
- Proven track record of deploying Large Language Models (LLMs) and RAG architectures in production environments.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Kubernetes/Docker).
- Excellent communication skills with the ability to articulate complex technical concepts to diverse stakeholders.
- Demonstrated leadership experience in cross-functional team settings.