AI Automation Engineering Intern

POSHA (formerly Nimble)

great internal systems, automations, and AI tools

🤔What can I expect from this role?

Automation & AI Engineer (Intern)

💻 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?

high-velocity company

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.

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.