H2O.ai
H2O.ai builds open-source and commercial platforms for machine learning and generative AI, used by enterprises and public-sector teams to develop models and applications on private data. Its portfolio includes H2O-3, Driverless AI, and tools for LLM fine-tuning and deployment, offered via subscriptions and cloud services. Founded in 2012 and headquartered in Mountain View, it is privately held; customers include AT&T, Commonwealth Bank of Australia, Workday, and the NIH.
Open Positions at H2O.ai
6 open positions
Build AI agents, automations, integrations, and reporting systems that power H2O.ai’s go-to-market operations. This hands-on engineering role turns ambiguous marketing and sales workflows into production tools quickly.
H2O.ai is seeking a hands-on Software Engineer, DevOps to build and operate secure, scalable AWS and Kubernetes environments for enterprise customers. The role combines cloud infrastructure, automation, production operations, and customer-facing technical delivery.
Customer Support Engineer supporting H2O.ai’s cloud-native MLOps platform by troubleshooting customer issues, developing fixes, and contributing to platform infrastructure and automated testing. The role combines customer-facing technical support with hands-on software engineering across Kubernetes, cloud services, and infrastructure code.
Lead the design and delivery of production-grade agentic AI, LLM applications, and ML systems for complex enterprise customers. This hands-on, customer-facing role combines technical leadership, AI engineering, and end-to-end deployment across cloud, on-premises, and hybrid environments.
Product Security Engineer responsible for vulnerability management, hands-on remediation, and security compliance across H2O.ai’s containerized cloud platform. The role partners with engineering and customer security teams to improve the security of enterprise AI deployments.
H2O.ai is hiring a Software Engineer in Sri Lanka to build and deploy scalable, data-intensive applications for enterprise customers. The role focuses on Go, Python, Kubernetes, streaming data, and distributed microservices, with mentorship from experienced engineers.