Job Description
We are seeking a visionary Senior AI Engineer to lead the engineering efforts for Project 2026, our flagship initiative into autonomous, safe, and scalable artificial intelligence. This is an opportunity to architect the next generation of neural networks that will define the technological landscape of the coming decade. If you are passionate about pushing the boundaries of what is possible with large language models and multimodal systems, we want to hear from you.
At Nexus Future Labs, we believe that the future belongs to those who build it responsibly. As part of Project 2026, you will work with a world-class team of researchers and engineers to solve the hardest problems in AI safety, efficiency, and scalability.
Responsibilities
- Design and implement state-of-the-art large language models (LLMs) and transformer architectures optimized for enterprise-scale deployment.
- Architect robust MLOps pipelines to ensure continuous training, evaluation, and deployment of models in production environments.
- Collaborate with product and security teams to integrate ethical AI guardrails and bias mitigation strategies into core systems.
- Conduct cutting-edge research into reinforcement learning from human feedback (RLHF) and agent-based reasoning.
- Mentor junior engineers and contribute to the technical vision of the Project 2026 roadmap.
- Optimize inference latency and reduce computational costs for edge deployment scenarios.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
- 5+ years of professional experience in deep learning, machine learning, or artificial intelligence.
- Expert proficiency in Python and frameworks such as PyTorch or TensorFlow.
- Strong experience with distributed computing systems (e.g., Kubernetes, Ray, Apache Spark).
- Deep understanding of natural language processing (NLP) and attention mechanisms.
- Proven track record of deploying high-availability ML models in cloud environments (AWS, GCP, or Azure).