Senior AI Engineer

Job Title: Senior AI Engineer Company: H2O.ai Job Category: Machine Learning Roles & Responsibilities: H2O.ai is on a mission to democratize AI for Good. 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 Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure\-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. 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. What You Will Do * Model distillation and synthetic data generation for fine\-tuning an open source model (eg. Gemma). Experience with PEFT\-QLORA frameworks * Design and build agentic AI systems and multi\-agent frameworks that automate complex, multi\-step workflows for enterprise customers. * Develop and deploy LLM\-powered applications using techniques including RAG, fine\-tuning, prompt engineering, function calling, and tool use. * Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production\-grade reliability and safety. * Stay current with the rapidly evolving agentic AI landscape \- MCP, LLM orchestration frameworks, reasoning models \- and bring the best of it into customer engagements. End\-to\-End AI Application Development* * Own the full development lifecycle: from problem framing and data exploration through model development, API integration, and production deployment. * Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. * Integrate AI models into customer environments \- cloud, on\-prem, and hybrid \- ensuring performance, stability, and maintainability at scale. * Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. * Work directly with customer data scientists, engineers, and business stakeholders to translate real\-world problems into AI solutions. * Contribute to pre\-sales and proof\-of\-concept engagements \- building fast, credible demonstrations that win technical trust. * Communicate clearly across audiences: from detailed technical design reviews with engineering teams to outcome\-focused updates for business stakeholders. * Collaborate closely with Program Managers, Solution Engineers, and Kaggle Grandmasters to deliver cohesive, high\-quality solutions. * Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine\-tuning, RLHF, model evaluation, guardrails, and LLMOps. * Solid grounding in classical ML \- able to select the right tool for the problem, not just default to the latest LLM. * Backend development skills: REST APIs, containerization (Docker/Kubernetes), and CI/CD pipelines for AI applications. * Strong problem\-solving instincts \- comfortable with ambiguity, able to move fast without sacrificing engineering quality. * Clear communicator who can explain complex AI systems to non\-technical stakeholders without oversimplifying. * Market leader in total rewards * Remote\-friendly culture * Flexible working environment * Be part of a world\-class team * Career growth 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. Work Location: Sydney, NSW, Australia Availability: Full time

What We Are Looking For*Experience \& Background* Key Skills: Machine Learning, Python, TensorFlow, PyTorch Salary: Not disclosed