Job Description
Industry: Food and Beverage Services
Seniority for this role: Entry level
Your responsibilities Design and Refine Prompts: Craft and optimize prompts for large language models and occasionally create agent flows to power end-to-end automation Integrate AI: Work closely with a Business Integration Engineer to embed LLMs into tools like Make or serverless functions. Ensure solutions are flexible, data-driven, easy to maintain, and can interact with our backend and internal toolsets Proactive Innovation: Actively analyze workflows involving complex or unstructured data to identify inefficiencies. Propose prompt-based improvements and AI-driven solutionsโleveraging Retrieval-Augmented Generation (RAG) and vector searchโto refine reasoning and decision-making Own Your Solutions: After onboarding, independently manage prompt-related projects, maintain quality, and quickly resolve production issues Your experience LLM Expertise: Proven skill in crafting effective prompts for large language models and experience with Retrieval Augmented Generation (RAG) Agent-Based Reasoning: Some experience with agent-based systems or a strong willingness to learn how to create autonomous agents that can plan, reason, and execute actions toward defined goals Basic Data and Integration Familiarity: Comfortable with APIs, simple ETLs, and basic SQL. Able to connect LLM outputs to various systems without overcomplicating the process Basic Development Knowledge: Familiarity with programming concepts and at least one high-level programming language (preferably Python) Pragmatic Engineering: Deliver practical solutions without over-engineering. Maintain a realistic understanding of state-of-the-art capabilities Fluent English Show more Show less