Applied AI Developer

Responsibilities: Design, build, and deploy AI-powered workflows and automation to drive operational efficiency across the company. Integrate LLM APIs into internal platforms and maintain custom AI agents and RAG systems.

Requirements: Requires an AI-native mindset with proficiency in Python or JavaScript and experience with AI orchestration frameworks. Must have a track record of connecting disparate systems via APIs and the ability to communicate technical concepts to non-technical stakeholders.

Key skills: Python, JavaScript, LLM Integration, Prompt Engineering, LangChain, LlamaIndex, CrewAI, RAG Pipeline Development, Node JS, React, API Development, Airtable, Zapier, Make, Cloud Deployment, System Thinking

Keywords: Applied AI, LLM, OpenAI, Anthropic, Airtable, Microsoft 365, Power Platform, RAG, LangChain, LlamaIndex, CrewAI, Python, JavaScript, Node JS, React, APIs, Webhooks, Zapier, Make, Business Intelligence, Automation, Prompt Engineering, Cloud Environments, Natural Food & Beverage, Retail Landscape