Software Engineer (Python) - AI Platform

What you'll need

• A degree in a STEM field or equivalent
• A solid foundation in computer science principles
• Proven track record designing and operating scalable backend systems in production environments
• Deep proficiency in Python as your primary language, with solid command of additional programming languages
• Expertise in distributed systems and modern infrastructure practices like containerization and orchestration
• Hands-on experience addressing challenges across the AI/ML lifecycle, including deployment, orchestration, and model management

Nice to have

• Experience with Infrastructure as Code (IaC) tools like Terraform or Ansible
• Familiarity with frameworks for high-performance model serving, especially for large-scale or Generative AI models
• Experience building internal platforms or developer tools
• Experience integrating third-party APIs and services to build resilient, production-grade solutions
• Knowledge of data and model versioning strategies and tools
• Side projects or contributions to open-source projects

What you'll be doing

• Designing, building, and maintaining scalable services that support the AI lifecycle
• Developing infrastructure and APIs that integrate third-party services and grow with the business
• Implementing and managing robust CI/CD pipelines to validate, deploy, and monitor a diverse range of models
• Building and scaling APIs and SDKs for serving AI models and systems
• Ensuring low latency and high availability to meet business needs
• Partnering with product teams to design and deliver accessible AI solutions
• Building frameworks to track data drift, model decay, and operational health
• Establishing the backbone for AI governance and reproducibility
• Versioning data and models and managing a central feature store
• Tracking lineage to ensure a clear, auditable path from research to production