ఉద్యోగ వివరణ

About H2O.ai

H2O.ai, established in 2012, is focused on making artificial intelligence widely accessible. The company positions itself as a leader in agentic AI, combining generative and predictive AI to help enterprises and public sector organizations create GenAI applications tailored to their private data. Its approach to Sovereign AI emphasizes secure, compliant, and infrastructure-flexible deployments that meet strict standards for privacy and control.

Its open-source platform is used by more than 20,000 organizations around the world, including over half of the Fortune 500. Customers and partners include AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, NIH, NVIDIA, Dell Technologies, Deloitte, Ernst & Young, Snowflake, AWS, Google Cloud Platform, VAST Data, and MinIO. The company also runs an AI for Good initiative supporting nonprofits, foundations, and communities in education, healthcare, and environmental conservation. Backed by 256 million in funding, H2O.ai continues to build AI solutions for broad, real-world impact.

Role Overview

This opportunity is for an AI Engineer based in Sydney, Australia, with a remote-friendly working model. The role is highly hands-on and focused on building practical AI systems that solve complex enterprise problems across APAC. You will work on agentic AI, large language model applications, and production-grade machine learning pipelines, with your work delivered directly into customer environments and evaluated by real business users.

You will collaborate with Kaggle Grandmasters, ML engineers, and subject-matter experts to create solutions that move beyond prototypes and deliver measurable outcomes in production workflows.

What You Will Be Doing

Designing, developing, and deploying AI applications, ML models, and agent-based systems on the H2O AI platform.
Handling the full machine learning lifecycle, including data prep, feature creation, model training, assessment, deployment, and ongoing monitoring.
Building production-ready features that combine predictive ML, generative AI, retrieval-augmented generation, and LLM-based components.
Creating backend services and APIs that connect models, data sources, and end-user applications.
Supporting implementation of AI solutions within customer environments for both predictive and GenAI use cases.
Contributing to technical workshops, product demos, and enablement sessions.
Working with senior engineers and cross-functional partners to develop reusable components and reference designs.
Explaining technical work clearly to both technical audiences and non-technical stakeholders.

Requirements

2 to 5 years of experience in AI, machine learning, data science, or software engineering.
Solid knowledge of predictive machine learning, including feature engineering, training, evaluation, and interpretation.
Hands-on experience building and deploying ML or AI solutions in production or near-production environments.
Exposure to generative AI concepts such as LLMs, SLMs, RAG, prompt design, or agent-based systems.
Strong Python skills along with sound 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 principles.
Strong communication skills and the ability to work well in teams.

Preferred Experience

Prior exposure to H2O products.
Background in full-stack or application development.
Hackathon, internship, or open-source contributions.
Understanding of model governance or enterprise AI delivery workflows.
Experience working with enterprise or regulated data.

Why Join H2O.ai

Market-leading total rewards.
Remote-friendly culture.
Flexible work environment.
Opportunity to work with a world-class team.
Room for career growth.

Equal Opportunity Commitment

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

Additional Information

This role is based in Sydney, New South Wales, Australia. The company also reiterates that it is an innovative AI cloud platform business focused on democratizing AI, supported by a strong global community of machine learning practitioners and data scientists, with a mission centered on responsible AI and AI for Good.

AI Engineer