Backend Engineer

• 3+ years of relevant software engineering experience\n
• Strong proficiency in Python and associated frameworks (FastAPI or similar)\n
• AI-native: you use Claude Code, Cursor, or similar AI coding tools daily and ship significantly faster because of it\n
• Hands-on experience building with LLMs - tool use / function calling, RAG, agents, or evals - and familiarity with MCP or similar protocols for connecting models to data and systems\n
• Experience designing and operating data-intensive backend systems (ETL, large-scale pipelines, distributed processing)\n
• (Bonus) Experience in customer-facing technical roles (e.g. forward deployed engineer)\n
• (Bonus) Experience deploying LLM-powered features to production at scale\n

n As a Backend Engineer at Guac, you'll have real impact and ownership over technical decisions, strategy, and product direction. Your responsibilities will include: \n

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• Design and build robust backend services that power mission-critical ordering and production planning products\n
• Build efficient ETL pipelines to handle billions of rows of data, multiple times per day\n
• Build AI-powered tools and agents for internal and customer use - exposing our data and forecasting systems via MCP servers, tool-use APIs, and similar protocols so that LLMs can reason over and act on grocery operations data\n
• Collaborate directly with customers' technical teams to understand and integrate with their IT infrastructure\n
• Help define how we leverage LLMs across the product surface, from agentic workflows to natural-language interfaces over our forecasts\n

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At Guac, we're solving grocery food waste with AI. We forecast exactly how much of each product will sell, helping grocery retailers order and produce the perfect amount of inventory - and we're building AI-native tools that put those forecasts directly into the hands of store operators and buyers.