Senior DevOps Engineer (AI)

We are seeking a Senior DevOps Engineer (AI) to lead the DevOps, deployment, and integration aspects of our AI-powered products. This is a high-ownership role for someone who enjoys operating independently, solving complex problems, and helping teams run smoothly at scale.

What you'll do

Act as the primary interface between the research team and the deployment ecosystem, ensuring seamless transition from innovation to production.

• Own interactions with external AI and LLM providers to facilitate integration and optimize performance across platforms.
• Lead information security and compliance approvals for product deployments, maintaining high standards of data protection and privacy.
• Design, build, and evolve the build and development environment, including robust CI/CD pipelines for automation and reliability.
• Manage releases end-to-end, from scheduling and execution to closure, ensuring timely and high-quality product delivery.
• Drive porting efforts and cross-platform support, broadening product reach and enabling scalability across cloud environments.

What you need

• Strong proficiency in Git, CI/CD, and version control workflows.
• Expertise in operating systems and cloud deployments (Azure, GCP, AWS).
• Hands-on experience with Docker/Kubernetes and infrastructure-as-code practices.
• Ability to design and build distributed systems at scale.
• Proficiency in Python or another scripting language for automation.
• Experience in model inferencing frameworks (vLLM, TGI) is highly desirable.