> Markdown version of [/jobs/ext/1417972-ai-platform-engineer-enterprise-intelligence](https://www.wearedevelopers.com/jobs/ext/1417972-ai-platform-engineer-enterprise-intelligence). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Platform Engineer - Enterprise Intelligence

- **Company:** ML6
ML6
- **Location:** Berlin, Germany (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Python (Programming Language), TypeScript, Large Language Models, AI Platforms, Terraform
- **Published:** July 24, 2026
- **Apply:** https://www.get-in-it.de/jobsuche/p310468

## About the Role

* Experience: min. 1 year of professional experience in software/product engineering with a proven track record of shipping end-to-end products (being a former founder or early engineer at a start up who built a product from scratch is a big plus!).
 * Tech Stack: Proficiency in Python and in building full stack applications (experience with TypeScript and Terraform are a plus). Familiarity with cloud and infrastructure.
 * AI Native: Experienced in building LLM powered workflows using common LLM APIs
 * Engineering Mindset: You don't just "build what's on the ticket." You think about why something needs to exist, who it serves, and how it fits into the broader Unum vision.

## Description

* Engineering Excellence: Build high impact applications and tools that accelerate Unum's solutions. You'll apply AI models in novel ways to solve real world customer and internal workflow problems.
 * Impact-Driven Development: Identify real needs and build technical solutions around them. You work across the full lifecycle: prototype, iterate, ship and maintain and stay close to the problem you're solving.
 * Thoughtful Design: Translate AI capabilities into clean, trustworthy experiences. Think carefully about how what you build is used - by end users, by colleagues, or by other systems.
 * Agentic Interaction: Design how AI agents present their findings and ask for feedback.


## Related Videos

- [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps)
- [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how)
- [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon)
- [Do TypeScript without TypeScript](https://www.wearedevelopers.com/videos/327-do-typescript-without-typescript)
- [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow)
- [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)