Job Description
We are seeking a visionary Senior AI Engineer to architect the next generation of Large Language Model (LLM) infrastructure. At Quantum Dynamics, we are building the core intelligence for the 2026 era of computing, focusing on efficiency, scalability, and ethical AI deployment.
In this role, you will bridge the gap between cutting-edge research and production-grade software engineering, leading a team of data scientists and ML engineers to deploy models that power enterprise-grade applications.
Responsibilities
- Architecture & Design: Design and implement scalable MLOps pipelines for training, fine-tuning, and deploying LLMs on cloud infrastructure (AWS/GCP).
- Model Optimization: Lead initiatives to reduce inference latency and optimize model size without sacrificing accuracy.
- Team Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Research Implementation: Translate academic research into production-ready code, integrating state-of-the-art advancements like RAG (Retrieval-Augmented Generation).
- Performance Monitoring: Establish robust monitoring and observability frameworks to track model performance and data drift.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years specifically focused on LLMs or Deep Learning.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of NLP and transformer architectures.
- Infrastructure: Experience with containerization (Docker/Kubernetes) and cloud platforms (AWS, GCP, or Azure).
- Problem Solving: Demonstrated ability to solve complex engineering challenges related to model deployment and resource management.