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Applied AI Engineer
Skills
Cloud ComputingFull-Stack DevelopmentJavascriptArchitectureArtificial IntelligenceEngineeringHTML
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.
