Software Engineer

About This Opportunity

H2O.ai is seeking a highly motivated Full Stack & Systems Software Engineer to join our H2OGPTe generative AI project team. This is a hands-on technical role for someone who thrives on solving complex problems, moves fast, and refuses to accept "no" as an answer. You'll be working at the intersection of cutting-edge generative AI and production systems, delivering end-to-end solutions that push the boundaries of what's possible.

This position is based in Sri Lanka.

What You Will Do

• Design, develop, and deploy full stack features for the H2OGPTe platform from concept to production.
• Build and maintain robust systems software using Python, Go, and React.
• Implement and optimize solutions across major cloud platforms (AWS, Azure, GCP).
• Own the complete development lifecycle including CI/CD pipelines, testing, deployment, and monitoring.
• Collaborate closely with ML researchers and engineers to productionize generative AI innovations.
• Debug complex distributed systems issues and deliver creative solutions under pressure.
• Contribute to architectural decisions that shape the future of our generative AI platform.
• Rapidly prototype new capabilities and iterate based on user feedback.
  
  

What We Are Looking For

• Required Qualifications
• 2+ years of professional software engineering experience.
• Strong programming skills in Python, Go, and React (or demonstrated ability to quickly master new technologies).
• Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native architectures.
• Hands-on experience with CI/CD pipelines and DevOps practices.
• Proven ability to deliver features end-to-end, from design through deployment.
• Track record of learning quickly and adapting to new technologies and domains.
• Essential Attributes
• Can-do attitude: You see obstacles as puzzles to solve, not roadblocks.
• Ownership mentality: You take pride in delivering high-quality solutions and stand behind your work.
• Fast learner: You're energized by new challenges and technologies, especially in ML and generative AI.
• Team player: You collaborate effectively, share knowledge, and elevate those around you.
• Execution-focused: You bias toward action and deliver results consistently.
• Innovative mindset: You're excited about pushing boundaries in generative AI applications.
• Tech Stack
• Languages: Python, Go, React/JavaScript
• Cloud: AWS, Azure, GCP
• Domain: Generative AI, LLMs, ML infrastructure
• Tools: CI/CD pipelines, containerization, distributed systems
  
  

How to Stand Out From the Crowd

• Experience with machine learning systems, frameworks, or infrastructure.
• Background in generative AI, LLMs, or related ML technologies.
• Familiarity with containerization (Docker, Kubernetes) and microservices architectures.
• Experience with scalable distributed systems and data processing pipelines.
• Open source contributions or personal projects demonstrating technical initiative.
  
  

Why H2O.ai?

• Market leader in total rewards
• Remote-friendly culture
• Flexible working environment
• Be part of a world-class team
• Career growth

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