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.

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