AI Engineer

About H2O.ai

H2O.ai, founded in 2012, focuses on making AI broadly accessible. The company is recognized for bringing together Generative AI and Predictive AI so organizations can create custom GenAI applications using their own private data. Its Sovereign AI approach emphasizes secure, compliant, and flexible deployments that support strong data privacy and control.

The company’s open-source platform is used by more than 20,000 organizations across the world, including over half of the Fortune 500. Its customers include major names such as AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai also works with partners like NVIDIA, Dell Technologies, Deloitte, EY, Snowflake, AWS, Google Cloud Platform, VAST Data, and MinIO. Through its AI for Good initiative, the company supports nonprofits, foundations, and communities working in education, healthcare, and environmental conservation. It has a community of 2 million data scientists and has raised 256 million from investors including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures, and New York Life.

Role Overview

H2O.ai is hiring an AI Engineer in Melbourne, Australia. This is a practical, delivery-focused engineering role where you will create end-to-end AI solutions for complex enterprise challenges across APAC. The work includes agentic AI systems, LLM-based applications, and production machine learning pipelines, with direct exposure to real customer environments from the start.

You will collaborate with Kaggle Grandmasters, ML engineers, and subject-matter experts to move solutions beyond prototypes and into operational use, where they can be adopted by business teams and measured by business impact.

What You Will Do

• Design, develop, and deploy AI applications, machine learning models, and agent-based systems on the H2O AI platform.
• Support the full ML lifecycle, including data preparation, feature creation, model training, assessment, deployment, and ongoing monitoring.
• Create production-grade AI capabilities that combine predictive ML, GenAI, retrieval-augmented generation, and LLM components.
• Build backend services and APIs that connect AI models with data sources and user applications.
• Help implement AI solutions in client environments for both predictive and generative AI scenarios.
• Contribute to technical workshops, demonstrations, and enablement activities.
• Work with senior engineers and cross-functional teams to create reusable components and reference architectures.
• Explain technical work clearly to both technical audiences and business stakeholders.

What We Are Looking For

• 2 to 5 years of experience in AI, machine learning, data science, or software engineering.
• Strong grasp of predictive machine learning, including feature engineering, training, evaluation, and model interpretation.
• Experience delivering ML or AI solutions in production or production-like settings.
• Working exposure to GenAI concepts such as LLMs, SLMs, RAG, prompt engineering, or agentic systems.
• Solid Python development skills and software engineering practices such as testing, debugging, version control, and CI/CD.
• Experience creating APIs or backend services.
• Basic familiarity with cloud platforms and MLOps/LLMOps concepts.
• Strong collaboration and communication skills.

Preferred Experience

• Hands-on familiarity with H2O products.
• Exposure to full-stack or application development.
• Background from hackathons, internships, or open-source projects.
• Understanding of model governance or enterprise AI workflows.
• Experience working with enterprise or regulated data.

Why Join H2O.ai

• Competitive total rewards positioning.
• Remote-friendly work culture.
• Flexible working environment.
• Opportunity to work with a highly skilled global team.
• Strong potential for career growth.

Additional Information

H2O.ai is committed to building a diverse and inclusive workplace. All qualified candidates will be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, age, disability status, or any other legally protected characteristic.

The company describes itself as an innovative AI cloud platform on a mission to democratize AI for everyone. Its technology is used by organizations across many industries to solve complex business problems and create new ideas and revenue opportunities. H2O.ai also emphasizes responsible AI and a strong AI for Good culture.

This position is based in Melbourne, Australia, and the role is presented as remote-friendly.