onsite
Senior Platform Engineer - Axiomatic AI
Devops Engineer
Lead the design and scaling of AI platform services that blend deep learning, formal logic, and physics-based modeling, delivering high‑performance, verifiable AI systems for scientific research.
About the role
Key Responsibilities
- Architect and maintain scalable, cloud‑native AI platform components using Python and AWS services.
- Integrate deep learning models with formal logic and physics‑based modules to ensure verifiability and interpretability.
- Collaborate with research scientists to translate scientific workflows into robust, production‑ready pipelines.
- Implement CI/CD pipelines, automated testing, and monitoring for continuous delivery and reliability.
- Optimize performance and cost across compute, storage, and networking resources.
Requirements
- 5+ years of platform engineering experience in a cloud environment (AWS preferred).
- Strong background in Python, deep learning frameworks (PyTorch/TensorFlow), and formal methods.
- Experience with physics‑based modeling and integrating domain knowledge into AI systems.
- Proficiency in containerization (Docker, Kubernetes) and CI/CD tooling.
- Excellent problem‑solving skills and a passion for building reliable, high‑impact scientific software.
Skills
pythondeep learningaws