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Applied AI Engineer

Skills
Cloud ComputingFull-Stack DevelopmentJavascriptArchitectureArtificial IntelligenceEngineeringHTML
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 8+ years building and shipping production software
  • Significant full-stack engineering experience
  • Proven experience deploying production-grade AI/ML systems and AI-powered products
  • Hands-on expertise with LLMs embeddings multimodal AI RAG and multi-agent frameworks
  • Strong backend API data pipeline cloud infrastructure and Python or JavaScript/TypeScript skills
  • Experience with image-based and visual AI workflows at scale
  • Ability to make trade-offs across latency cost scalability accuracy and UX
  • Track record of taking ambiguous problems from idea to shipped product
  • Strong product instincts visual sensibility and craftsmanship
  • Strong communication and collaboration skills

Nice to have

  • Creative industry interest
  • Open-source contributions
  • Curiosity
  • Experimentation
  • Taste

Day to day

  • Design and ship end-to-end AI-powered product experiences from concept through production.
  • Architect scalable AI systems using LLMs embeddings multimodal models retrieval systems and agent frameworks.
  • Build polished multimodal workflows and intelligent tools that improve search discovery personalization and creative content experiences.