Senior AI Engineer – Agentic AI & LLM Production

h2o.ai

Sydney

On-site

AUD 140,000 - 190,000

Full time

2 days ago
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Benefits offered by this job

Remote-friendly culture
Flexible working environment
Career growth

Job summary

H2O.ai, Sydney-based, seeks a Senior AI Engineer to design and ship end-to-end AI solutions for APAC enterprises. You will build agentic AI systems, LLM-powered applications, and production ML pipelines in a hands-on, customer-facing role.

You will collaborate with Kaggle Grandmasters, ML engineers, and domain experts to deploy AI into production, workflows, and measurable business outcomes from day one. Based in Sydney, Australia, with a remote-friendly culture.

Qualifications

  • 3+ years hands-on AI/ML engineering with production deployments.
  • Experience building LLM-powered apps (RAG, agents, fine-tuned models).
  • Strong Python and ML framework skills; cloud/on-prem deployment experience.
  • Experience with AI tools and LLM tooling (LangChain, LlamaIndex).

Responsibilities

  • Design and ship end-to-end AI solutions for APAC enterprise problems.
  • Develop and deploy LLM-powered applications and agentic AI systems.
  • Collaborate with customer-facing field team and stakeholders to deliver outcomes.
  • Build scalable backend services and APIs; integrate AI into customer environments.

Skills

Python
Machine Learning
Model deployment
LangChain
Cloud deployment
REST APIs
Docker/Kubernetes
Stakeholder communication

Education

Bachelor's degree in Computer Science or related field

Tools

PyTorch
TensorFlow
scikit-learn
Docker
Kubernetes
LlamaIndex
LangChain

Job description

H2O.ai, Sydney-based, seeks a Senior AI Engineer to design and ship end-to-end AI solutions for APAC enterprises. You will build agentic AI systems, LLM-powered applications, and production ML pipelines in a hands-on, customer-facing role.

You will collaborate with Kaggle Grandmasters, ML engineers, and domain experts to deploy AI into production, workflows, and measurable business outcomes from day one. Based in Sydney, Australia, with a remote-friendly culture.

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