AI Engineer

• 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.

What We Are Looking For

• 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.

How to Stand Out From the Crowd

• 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