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AI Engineer

H2O.ai · Germany

Applied AIonsite
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At a glance

Highlights

  • Bootstrap transformative AI solutions from concept to market with Kaggle GM team.
  • Build full-stack AI apps spanning data, models, and scalable production deployment.
  • Help enterprises develop purpose-built Agents and SLMs on private data.

What they offer

  • Market-leading total rewards
  • Remote-friendly and flexible working environment
  • Career growth with a world-class team

Ideal candidate

A fast-moving full-stack builder passionate about taking AI from idea to production. You love open source, embrace new tools quickly, and thrive bringing creative AI products to life with world-class talent.

Requirements

  • Degree in Computer Science, Engineering or related field preferred
  • Proven experience as Full Stack Engineer or similar role
  • Hands-on experience in data engineering, ML model development and full-stack development
  • Public track record of AI experience and open source contributions
  • Core proficiency in Python with some JavaScript experience
  • Proficient in PyTorch and fine-tuning LLMs
  • Backend experience with FastAPI, SQL/NoSQL/S3
  • Frontend experience with React and NextJS
  • Experience deploying with Docker, Kubernetes, CI/CD and cloud services, including LLMs
  • Experience integrating OpenAI APIs and agents into applications
  • Ability to leverage AI-assisted coding tools
  • Strong analytical and problem-solving skills with adaptability to new technologies

Lab profile

About H2O.ai

Leading agentic AI company converging generative and predictive AI for private-data agents and SLMs

What they build

  • Purpose-built AI agents
  • Small language models (SLMs)
  • GenAI applications for private data

Known for

  • Sovereign AI deployments
  • Secure and compliant AI
  • Infrastructure-flexible platform
  • Open-source technology

Key facts

  • Founded in 2012
  • Technology trusted by 20,000+ organizations
More about H2O.ai →
Apply on the lab’s site ↗

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