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AI Builder
Skills
Software DevelopmentArtificial IntelligenceBusinessEngineeringFinancial ServicesLarge Language ModelsPrompt Engineering
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Experience building and deploying AI-powered applications or prototypes
- Strong familiarity with modern LLM ecosystems and prompt engineering
- Experience with model selection tradeoffs and architectures such as RAG agents and workflow orchestration
- Hands-on experience with full-stack AI toolchains including front-end backend and deployment
- Experience with Vercel or similar hosting and deployment platforms
- Proficiency with GitHub for version control and collaborative development workflows
- Ability to turn loosely defined or partially built solutions into scalable applications
- Strong problem-solving skills and comfort working with ambiguity
- Ability to learn new tools and technologies quickly
Nice to have
- Adaptable
- Innovative
- Collaborative
- Hands-on
- Ambiguity-tolerant
Day to day
- Partner with Product Managers to translate AI ideas and prototypes into production-ready applications
- Design build and deploy end-to-end AI solutions that are secure scalable and enterprise-ready
- Develop and refine AI tools using modern platforms LLM APIs orchestration frameworks and collaborative workflows
- Evaluate model options improve existing solutions and support AI automation across multiple business functions