Job Description
Are you a visionary AI Engineer ready to shape the future of digital interaction?
Apex Digital Systems is at the forefront of the generative AI revolution. We are looking for a brilliant Senior AI Engineer to join our elite R&D team in San Francisco. In this role, you will architect scalable machine learning infrastructure and develop state-of-the-art Large Language Models (LLMs) that power our next-generation products.
Why Join Us?
- Work with cutting-edge technologies including GPT-4, Claude, and proprietary LLMs.
- Competitive equity and a comprehensive benefits package.
- Flexible remote-first policy with a hub in the heart of SF.
Responsibilities
- Design, train, and fine-tune large-scale language models using modern Deep Learning frameworks.
- Build and optimize production-grade inference pipelines for high-throughput AI applications.
- Implement Retrieval-Augmented Generation (RAG) architectures to enhance model accuracy and reduce hallucinations.
- Mentor junior engineers and contribute to the technical vision of the AI division.
- Collaborate with cross-functional teams to integrate AI models into client-facing products.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
- 5+ years of professional experience in Python, PyTorch, or TensorFlow.
- Proven experience deploying LLMs in production environments (e.g., AWS, GCP, Azure).
- Deep understanding of NLP, transformers, and neural network architectures.
- Strong problem-solving skills and the ability to thrive in a fast-paced startup environment.
Responsibilities
- Design, train, and fine-tune large-scale language models using modern Deep Learning frameworks.
- Build and optimize production-grade inference pipelines for high-throughput AI applications.
- Implement Retrieval-Augmented Generation (RAG) architectures to enhance model accuracy and reduce hallucinations.
- Mentor junior engineers and contribute to the technical vision of the AI division.
- Collaborate with cross-functional teams to integrate AI models into client-facing products.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
- 5+ years of professional experience in Python, PyTorch, or TensorFlow.
- Proven experience deploying LLMs in production environments (e.g., AWS, GCP, Azure).
- Deep understanding of NLP, transformers, and neural network architectures.
- Strong problem-solving skills and the ability to thrive in a fast-paced startup environment.