Job Description
Are you ready to engineer the future?
Zenith Future Tech is looking for a visionary Senior AI Engineer to lead our next-generation language model initiatives. We are building the infrastructure for the AI revolution of 2026 and beyond, and we need a pioneer who thrives on complex challenges to join our elite R&D team in the heart of San Francisco.
In this role, you will not just write code; you will define the architectural standards for the next era of intelligent systems. You will collaborate with top-tier researchers and engineers to push the boundaries of what's possible with Large Language Models (LLMs) and Generative AI.
Join us and shape the future of artificial intelligence today.
Zenith Future Tech is looking for a visionary Senior AI Engineer to lead our next-generation language model initiatives. We are building the infrastructure for the AI revolution of 2026 and beyond, and we need a pioneer who thrives on complex challenges to join our elite R&D team in the heart of San Francisco.
In this role, you will not just write code; you will define the architectural standards for the next era of intelligent systems. You will collaborate with top-tier researchers and engineers to push the boundaries of what's possible with Large Language Models (LLMs) and Generative AI.
Join us and shape the future of artificial intelligence today.
Responsibilities
- Model Architecture & Training: Design, train, and fine-tune state-of-the-art LLMs using transformer architectures to solve complex real-world problems.
- Deployment & MLOps: Build robust, scalable pipelines for model deployment, ensuring high availability and low latency inference in production environments.
- Research & Innovation: Stay ahead of the curve by implementing cutting-edge research papers and integrating novel techniques into our product suite.
- Data Strategy: Lead the curation and optimization of high-quality datasets essential for training reliable and unbiased AI models.
- Performance Optimization: Continuously monitor and optimize model performance, reducing computational costs while improving accuracy.
- Team Leadership: Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience in building, deploying, and scaling machine learning models at scale.
- Technical Stack: Deep proficiency in Python, PyTorch, or TensorFlow, with hands-on experience in NLP and LLMs (e.g., GPT, BERT, LLaMA).
- Infrastructure: Strong understanding of cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Problem Solving: Proven track record of tackling ambiguous problems and delivering innovative solutions in fast-paced environments.
- Communication: Excellent ability to communicate complex technical concepts to both technical and non-technical stakeholders.