Job Description
Join the Future of Intelligence
Nexus Future Labs is seeking a visionary Generative AI Engineer to lead the development of next-generation Large Language Models (LLMs) and generative systems. We are building the infrastructure that will define the technological landscape of 2026 and beyond. If you are passionate about pushing the boundaries of machine learning and AI ethics, we want to hear from you.
Why Join Us?
As a key member of our AI Research division, you will work on cutting-edge projects that impact millions of users. We offer competitive compensation, remote-first flexibility, and the opportunity to shape the future of artificial intelligence.
What You Will Do
We are looking for a technical expert to design, train, and deploy scalable AI models. Your work will bridge the gap between theoretical research and practical application.
Responsibilities
- Design and implement state-of-the-art generative models using PyTorch and TensorFlow.
- Optimize model inference latency and scalability for high-traffic production environments.
- Collaborate with cross-functional teams of data scientists, researchers, and product managers.
- Conduct rigorous testing and validation of AI outputs to ensure accuracy and safety.
- Stay abreast of the latest advancements in NLP, computer vision, and multimodal AI.
- Document technical architecture and model performance metrics for the engineering team.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience in software engineering or machine learning research.
- Strong proficiency in Python, C++, and SQL.
- Deep understanding of Transformer architectures and attention mechanisms.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Excellent problem-solving skills and ability to work in a fast-paced, agile environment.