Job Description
Are you ready to define the trajectory of Artificial Intelligence in 2026? Nexus Future Labs is seeking a visionary Senior Generative AI Engineer to spearhead the development of next-generation multimodal models and autonomous AI agents.
As we stand on the precipice of the AGI era, we are building the infrastructure for tomorrow. In this pivotal role, you will not just write code; you will architect the cognitive architecture of our digital future. You will work with state-of-the-art hardware and pioneering algorithms to solve complex problems that define the landscape of 2026 and beyond.
Why Join Us?
- Work on cutting-edge LLMs and diffusion models.
- Competitive compensation package with equity.
- Remote-first culture with access to world-class research facilities.
Responsibilities
- Design and implement scalable deep learning architectures for large language models (LLMs) and generative adversarial networks (GANs).
- Lead research initiatives focused on RLHF (Reinforcement Learning from Human Feedback) and ethical AI alignment.
- Optimize model inference latency and throughput for real-time applications.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers.
- Mentor junior engineers and establish coding standards for AI infrastructure.
- Contribute to open-source projects and publish technical papers.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in building production-level AI systems.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of Transformer architectures, attention mechanisms, and vector databases.
- Experience with MLOps tools (Docker, Kubernetes, MLflow) and cloud platforms (AWS/GCP/Azure).
- Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment.