Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control.
Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH.
H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users.
H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life.
For more information, visit www.h2o.ai.
About This Opportunity
We are looking for an AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one.
You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes.
This position is based in Melbourne, Australia.
What You Will Do
- Design, build, and deploy AI-powered applications, machine learning models, and agent-based systems using the H2O AI platform.
- Contribute to end-to-end ML workflows including data preparation, feature engineering, model training, evaluation, deployment, and monitoring.
- Build production-ready AI features integrating predictive ML, GenAI, RAG, and LLM-based components.
- Develop backend services and APIs connecting AI models, data sources, and applications.
- Support implementation of AI solutions in customer environments, including predictive and GenAI use cases.
- Assist in technical workshops, demos, and enablement sessions.
- Collaborate with senior engineers and cross-functional teams on reusable components and reference architectures.
- Communicate technical work clearly to technical and non-technical stakeholders.
- 2–5 years of experience in AI, machine learning, data science, or software engineering roles.
- Strong understanding of predictive ML (feature engineering, training, evaluation, interpretation).
- Experience building and deploying ML or AI applications in production or production-like environments.
- Exposure to GenAI: LLMs, SLMs, RAG, prompt engineering, or agentic systems.
- Strong Python programming and software engineering fundamentals (testing, debugging, version control, CI/CD).
- Experience building APIs or backend services.
- Basic understanding of cloud platforms and MLOps/LLMOps concepts.
- Good communication and teamwork skills.
- H2O product experience.
- Exposure to full-stack or application development.
- Hackathon, internship, or open-source experience.
- Understanding of model governance or enterprise AI workflows.
- Experience with enterprise or regulated data.
Why H2O.ai
- Market Leader in Total Rewards
- Remote-Friendly Culture
- Flexible working environment
- Be part of a world-class team
- Career Growth
H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis.
H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence.
H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose.
Please visit www.H2O.ai to learn more.
Skills Required
- 2-5 years of experience in AI, machine learning, data science, or software engineering roles.
- Strong understanding of predictive ML (feature engineering, training, evaluation, interpretation).
- Experience building and deploying ML or AI applications in production or production-like environments.
- Exposure to GenAI: LLMs, SLMs, RAG, prompt engineering, or agentic systems.
- Strong Python programming and software engineering fundamentals (testing, debugging, version control, CI/CD).
- Experience building APIs or backend services.
- Basic understanding of cloud platforms and MLOps/LLMOps concepts.
- Good communication and teamwork skills.
- H2O product experience.
- Exposure to full-stack or application development.
- Hackathon, internship, or open-source experience.
- Understanding of model governance or enterprise AI workflows.
- Experience with enterprise or regulated data.
What We Do
H2O.ai is the leading AI cloud company, on a mission to democratize AI for everyone. Customers use the H2O AI Hybrid Cloud platform to rapidly make, operate and innovate to solve complex business problems and accelerate the discovery of new ideas. H2O.ai is the trusted AI partner to more than 20,000 global organizations, including AT&T, Aegon/ Transamerica, Allergan, Bon Secours Mercy Health, Capital One, Commonwealth Bank of Australia, GlaxoSmithKline, Hitachi, Kaiser Permanente, PayPal, PWC and Walgreens, over half of the Fortune 500 and one million data scientists. Goldman Sachs, NVIDIA and Wells Fargo are not only customers and partners, but strategic investors in the company. H2O.ai’s customers have honored the company with a Net Promoter Score (NPS) of 78— the highest in the industry based on breadth of technology and deep employee expertise. The world’s top 20 Kaggle Grandmasters (the community of best-in-the-world machine learning practitioners and data scientists) are employees of H2O.ai. A strong AI for Good ethos to make the world a better place and Responsible AI drive the company’s purpose. Please join our movement at www.H2O.ai.
