Job Description
Are you ready to define the technological landscape of 2026? Nexus Future Systems is seeking a visionary Senior AI Engineer to architect the next generation of intelligent systems. We are not just building software; we are building the future of human-computer interaction.
As a key player in our AI division, you will lead the charge in developing Generative AI solutions that push the boundaries of what is possible. We offer a competitive salary, equity package, and the opportunity to work on projects that will impact millions globally.
Why join us?
- Work with the latest Generative AI and LLM technologies.
- Flexible hybrid work model in the heart of SF.
- Top-tier benefits and professional development budget.
Responsibilities
- Model Development: Design, train, and deploy state-of-the-art Generative AI models, including LLMs and diffusion models.
- Optimization: Optimize large-scale neural networks for production environments, ensuring low latency and high throughput.
- Research: Conduct cutting-edge research in Natural Language Processing (NLP) and Computer Vision to drive product innovation.
- Collaboration: Partner with product managers, designers, and engineers to integrate AI solutions seamlessly into consumer products.
- Mentorship: Mentor junior engineers and data scientists, establishing best practices for AI research and engineering.
- Compliance: Ensure all AI systems adhere to ethical guidelines, data governance policies, and regulatory standards.
- Infrastructure: Implement robust MLOps pipelines for model lifecycle management and continuous deployment.
Qualifications
- Education: PhD or MS in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 5+ years of professional experience in Machine Learning and Deep Learning.
- Programming: Proficiency in Python, PyTorch, or TensorFlow.
- Specialized Skills: Proven experience with LLMs (Large Language Models), RAG architectures, and fine-tuning techniques.
- Infrastructure: Strong understanding of MLOps, containerization (Docker), and cloud platforms (AWS/GCP/Azure).
- Research: Track record of publishing research in top-tier AI conferences (NeurIPS, ICML, ACL).
- Soft Skills: Excellent communication skills and the ability to translate complex technical concepts for diverse stakeholders.