Jobs at H2O.ai

The Senior AI Engineer will design and implement end-to-end AI solutions and LLM applications, ensuring production-grade reliability while collaborating with customers and technical teams.

Design, build, and deploy end-to-end AI solutions including predictive ML, GenAI, RAG, and agentic systems. Own data preparation, feature engineering, model development, deployment, monitoring, and customer enablement. Build scalable backend services and APIs, implement production-grade GenAI pipelines, and guide customers on governance, evaluation, and adoption while collaborating with product and engineering teams.

Design, build, and deploy production AI applications and agent-based systems using the H2O AI platform. Contribute to end-to-end ML workflows (data prep, feature engineering, training, evaluation, deployment, monitoring), develop backend services and APIs, support customer implementations, run technical workshops, and collaborate with cross-functional teams to deliver measurable enterprise AI solutions.

Design, build, and deploy production-grade AI applications and agentic systems. Own end-to-end AI solutions including data preparation, feature engineering, model development, deployment, monitoring, and governance. Architect GenAI systems (RAG, LLMs/SLMs, agents), build backend services/APIs, guide customers on adoption and responsible AI, and deliver technical enablement.

Design, deploy, and maintain secure, scalable AWS and Kubernetes-based cloud environments using IaC and CI/CD. Automate provisioning, implement observability, troubleshoot containerized workloads, and work directly with enterprise customers to deliver production-grade solutions and improve operational practices.

Design and deliver end-to-end enterprise AI solutions (predictive ML, GenAI, agentic systems). Lead delivery execution, translate business problems to technical designs, implement production pipelines, ensure ML lifecycle best practices, and act as technical customer lead.