Senior AI Engineer

Posted Yesterday
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Melbourne, Victoria, AUS
In-Office
Senior level
Artificial Intelligence • Big Data • Machine Learning • Software • Analytics
The Role
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.
Summary Generated by Built In

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 a Senior 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, predictive machine learning models, and agentic systems.
  • Own end-to-end AI solution design spanning data preparation, feature engineering, model development, evaluation, deployment, monitoring, and adoption.
  • Architect production-ready AI applications incorporating predictive ML, GenAI, RAG, SLMs/LLMs, agent workflows, and enterprise integrations.
  • Build scalable backend services, APIs, and AI workflows integrating models, agents, data platforms, and user-facing applications.
  • Design and implement production-grade GenAI systems including RAG pipelines, evaluation frameworks, and agent orchestration.
  • Guide customers through predictive analytics, GenAI adoption, model governance, and responsible AI practices.
  • Deliver technical workshops, hackathons, and enablement programmes.
  • Collaborate with product and engineering teams to build reusable assets and reference architectures.
  • Translate technical outcomes into measurable business value.

What We Are Looking For

  • 5+ years of experience in AI, machine learning, data science, or software engineering roles.
  • Strong predictive ML foundation (feature engineering, modelling, validation, evaluation, interpretability).
  • Experience building and deploying production AI applications or services.
  • Experience with GenAI: LLMs, SLMs, RAG, prompt engineering, evaluation, fine-tuning, agentic workflows.
  • Strong Python and software engineering skills (testing, CI/CD, debugging, version control).
  • Experience building APIs, backend systems, or application platforms.
  • Familiarity with cloud platforms and MLOps/LLMOps (deployment, monitoring, governance).
  • Strong communication and stakeholder engagement skills.

How to Stand Out From the Crowd

  • Experience with H2O products.
  • Full-stack AI application development experience.
  • Model governance, monitoring, and responsible AI experience.
  • Hackathon / workshop / enablement experience.
  • Kaggle, open source, blogs, or conference contributions.

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.

#LI-Hybrid

Skills Required

  • 5+ years of experience in AI, machine learning, data science, or software engineering roles
  • Strong predictive ML foundation (feature engineering, modelling, validation, evaluation, interpretability)
  • Experience building and deploying production AI applications or services
  • Experience with GenAI: LLMs, SLMs, RAG, prompt engineering, evaluation, fine-tuning, agentic workflows
  • Strong Python and software engineering skills (testing, CI/CD, debugging, version control)
  • Experience building APIs, backend systems, or application platforms
  • Familiarity with cloud platforms and MLOps/LLMOps (deployment, monitoring, governance)
  • Strong communication and stakeholder engagement skills
  • Experience with H2O products
  • Full-stack AI application development experience
  • Model governance, monitoring, and responsible AI experience
  • Hackathon, workshop, Kaggle, open source, or conference contributions
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The Company
Mountain View, CA
321 Employees
Year Founded: 2012

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.

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