Job Description
We are on a mission to redefine the boundaries of artificial intelligence. Nexus AI Systems is seeking a visionary Senior AI Engineer to spearhead the development of next-generation Generative AI models. If you are passionate about Large Language Models (LLMs), Transformer architectures, and building systems that think, we want to hear from you.
Join our elite R&D team in the heart of San Francisco's tech corridor. You will work with cutting-edge hardware and collaborate with world-class researchers and engineers to deploy models that impact millions of users globally.
Why Join Us?
- Impactful Work: Build core infrastructure that powers the next generation of intelligent applications.
- Top-Tier Compensation: Competitive salary, equity package, and comprehensive benefits.
- Innovation First: Access to the latest GPUs and cloud resources to experiment freely.
Your Role
As a Senior AI Engineer, you will bridge the gap between theoretical research and production deployment. You will be responsible for the full lifecycle of our AI models, from training on massive datasets to optimizing inference pipelines for real-time applications.
Responsibilities
- Model Development: Design, train, and fine-tune large-scale Generative AI models and LLMs using PyTorch and TensorFlow.
- Infrastructure Optimization: Optimize model architectures for efficiency, reducing latency and computational costs in production environments.
- MLOps Implementation: Build and maintain scalable MLOps pipelines (e.g., using Airflow, Kubeflow) to ensure reliable model deployment and monitoring.
- Research & Experimentation: Stay ahead of the curve by exploring new architectural trends in Deep Learning and NLP.
- Cross-Functional Collaboration: Partner with Product Managers and Data Scientists to define AI requirements and translate them into technical solutions.
- Code Quality: Write clean, maintainable, and well-documented code, conducting rigorous code reviews within the engineering team.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent professional experience).
- Experience: 5+ years of professional experience in AI/ML, with at least 2 years focused on Generative AI or LLMs.
- Technical Skills: Strong proficiency in Python, C++, and SQL. Deep understanding of machine learning algorithms and statistical concepts.
- Frameworks: Extensive experience with PyTorch, TensorFlow, Hugging Face Transformers, and LangChain.
- Deployment: Experience deploying models via REST APIs, Docker, and Kubernetes.
- Problem Solving: Demonstrated ability to troubleshoot complex optimization problems and debug deep learning models.