AI Automation Engineering Intern

Job Description

At POSHA (formerly Nimble) , we’re building an AI-powered kitchen robot that automates everyday cooking—helping people save time, eat better, and take one big task off their plate every day. Behind the scenes, we care just as much about how our internal teams operate. We believe that great internal systems, automations, and AI tools are just as critical as the product itself. That’s why we’re focused on building smart workflows, reliable infrastructure, and internal tools that keep our teams fast, focused, and aligned. 🤔What can I expect from this role? We’re looking for an Automation & AI Engineer (Intern) to help us build this internal engine—from backend scripts and automation pipelines to AI-assisted internal tools. You’ll work closely with product, engineering, and operations to design systems that feel invisible when they work—powerful, simple, and indispensable. Over time, your work will directly influence how our teams build the future of home cooking. 💻 What You’ll Do Build internal control panels and backend automations across product, ops, and engineering. Develop workflows using n8n , connected to REST APIs , databases, and internal tools. Write scripts to automate data processing, integrations, and repetitive ops tasks. Work with AI APIs to improve internal search, tagging, and retrieval systems. Support documentation and QA workflows with tooling and automation. 🎯 What We’re Looking For Proven experience with Python for scripting and backend tasks Familiarity with automation tools (e.g., n8n) and REST API workflows Good command of SQL (Postgres preferred); basic familiarity with NoSQL (e.g. MongoDB) Strong debugging skills, attention to detail, and comfort with technical documentation You think in systems and build tools that scale—not just one-time fixes 🧬 Nice to Have Exposure to LLMs or AI-based tools, RAG Systems. Experience with internal QA or admin workflows, with real-world dataset. ⁉ Why Should You Join? We're not just building a product—we're building a high-velocity company from the ground up. Speed, visibility, and clarity aren’t afterthoughts here—they’re part of our DNA. We invest heavily in the right tooling, knowledge flows, and automation so every team can move fast and make sharp decisions. You won’t be working in the background. You'll collaborate directly with product, engineering, and operations, gaining firsthand exposure to how strategy is shaped, how priorities evolve, and how startups truly scale. Your work won’t be a “nice to have.” It’ll be the engine that powers how we build, decide, and grow—every single day. 📩 How to get selected for this role? We value substance over polish — sending us project work (even if rough) will significantly increase your chances of landing an interview. Please include the following along with your resume : ⚡ GitHub repos or demos of real, original work — not just clones of Netflix, Spotify, or generic library management systems (those will be auto-rejected). 🤖 Any documentation or live work involving LLMs, agents, tools, or prompt engineering. (This is a strong bonus — we love seeing how you think.) 🧠 If you’ve written technical blog posts or design docs, feel free to share those too. We care about how you approach problems.