Job Description
We are on the precipice of the AI revolution, and Nexus Future Labs is leading the charge. We are seeking a visionary Generative AI Architect to define the technological landscape of 2026. You won't just be building models; you will be architecting the future of human-machine interaction.
In this role, you will lead the development of cutting-edge multi-modal models, optimizing them for real-time inference and ethical deployment. You will work at the intersection of creativity and code, ensuring our AI systems are not only powerful but safe, interpretable, and aligned with human values.
Join us in building the infrastructure that powers the next decade of digital innovation.
Responsibilities
- Architect and deploy scalable Generative AI models, focusing on LLMs and diffusion systems.
- Design MLOps pipelines to ensure high availability and rapid iteration of AI models.
- Collaborate with cross-functional teams to integrate AI capabilities into consumer products.
- Conduct research into novel architectures to push the boundaries of 2026 technology.
- Establish best practices for AI safety, fairness, and bias mitigation.
- Optimize inference latency and cost efficiency at scale.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related field.
- 5+ years of professional experience in Deep Learning and NLP.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Deep understanding of transformer architectures and attention mechanisms.
- Proven track record of shipping production-grade AI systems.