Job Description
Are you ready to define the technological landscape of 2026? Nexus Future Systems is seeking a visionary Senior AI Engineer to lead our next-generation Generative AI initiatives. We are building the infrastructure that will power the intelligent applications of tomorrow, and we need a technical expert who thrives in a fast-paced, innovative environment.
In this role, you will architect and deploy state-of-the-art Large Language Models (LLMs) and multimodal AI systems. You will work at the intersection of research and engineering, turning theoretical breakthroughs into scalable, production-ready solutions that redefine user experiences. If you are passionate about the future of Artificial Intelligence and want to leave a lasting legacy in the tech industry, we want to hear from you.
Responsibilities
- Design, train, and fine-tune large-scale Generative AI models using modern deep learning architectures.
- Optimize model inference pipelines to ensure high throughput and low latency in real-world applications.
- Collaborate with cross-functional teams of data scientists, product managers, and engineers to define AI product requirements.
- Implement and monitor best practices for AI ethics, bias mitigation, and data privacy compliance.
- Research and prototype cutting-edge algorithms to stay ahead of the rapid advancements in the AI field.
- Manage the end-to-life cycle of AI models, from experimentation to deployment and continuous improvement.
Qualifications
- Master’s degree or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Proven experience of 5+ years in building and deploying production-grade Machine Learning systems.
- Expert proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX).
- Deep understanding of Natural Language Processing (NLP) and Transformer architectures.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Strong problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.