Unlock the future of AI and ML by mastering the infrastructure that powers groundbreaking innovations. Join us as a Platform Engineer and be at the forefront of deploying and managing cutting-edge AI/ML platforms that drive real-world impact. This is your chance to shape the backbone of complex AI systems, collaborate with talented teams, and grow your expertise in a dynamic, supportive environment.
We’re seeking a skilled Platform Engineer to deploy, optimize, and secure our AI/ML infrastructure, including platforms like LlamaIndex Cloud and KDB.AI. You will build reliable, scalable deployment pipelines on Kubernetes, implement up-to-date GitOps workflows, and ensure secure, seamless operation across multiple environments. Your work will directly support innovative AI initiatives, enabling smarter, faster insights and solutions.
Deploy and manage AI workloads on Kubernetes platforms, supporting development, QA, and production environments.

Build and maintain reliable deployment pipelines using GitOps practices with Flux CD.





Administer and optimize Kubernetes clusters for performance, security, and scalability.

Maintain CI/CD pipelines utilizing GitHub Actions, Artifactory, and other tools.

Collaborate with enterprise Identity Management teams to set up OIDC authentication with Microsoft Entra ID.

Develop and manage Helm charts and Kubernetes manifests for efficient deployment.

Monitor system performance, troubleshoot issues, and implement improvements.

Hands-on experience with CI/CD pipelines using GitHub Actions, Jenkins, or similar.

~ Knowledge of Linux/Unix systems, shell scripting, and Kubernetes networking.

Experience with AI/ML platforms like LlamaIndex, LangChain, or KDB.AI.

Knowledge of vector databases or KDB.AI.

Skills in Python or Go for automation tasks.

Join us and make a direct impact on innovative AI solutions—apply now and help build the future of intelligent technology!

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