Mlops engineer Jobs in München

**About us
**At deeplify, we’re building the first AI-native asset integrity co-pilot for critical industrial infrastructure.

We turn inspection data from pipelines, chemical plants, ships, and bridges into real-time, risk- based maintenance decisions - automatically. We combine a digital inspection platform with proprietary deep-learning models and an evolving agentic AI system that learns from asset integrity engineers. This shifts asset integrity from slow, analogue, document-driven processes to a proactive, software-defined, and increasingly autonomous system.

Join us if you want to build AI for heavy industries - replacing outdated workflows and delivering direct impact on safety, reliability, and efficiency at scale. With the foundations in place, we are looking for top talent to scale deeplify into a category-defining industrial AI company.

Tasks

The role
We’re hiring a Founding Full-Stack Engineer who can ship fast, own features end-to-end, and collaborate closely across product and engineering. You’ll work across our React/TypeScript frontend and Python/FastAPI backend, shaping a product used by industrial leaders to help ensure integrity and safety at scale.

• Ideate, design, and ship product features
• Elevate our application architecture and engineering practices to scale 10x over the next year
• Define complex data models, build clean, well-tested APIs, and integrate AI services to automate NDT analysis
• Raise the bar on code quality, reviews, and reliability while moving with urgency
• Help shape our engineering culture, tooling, and processes in a fast-growing AI startup

Requirements

• 2–5 years of professional full-stack experience
• Strong in React and TypeScript on the frontend
• Strong in Python (ideally FastAPI) on the backend
• Excellent communication, pragmatic problem-solving, and a true team player mindset
• Based in Germany (ideally Munich)
• Bonus: experience with industrial software and agentic AI

Benefits

• Competitive salary + meaningful equity
• Real responsibility & ownership from day one
• Direct impact building AI-native inspection software that materially improves safety and efficiency

Send your CV or LinkedIn plus a short note answering:

1. Why deeplify, why now?

2. Why this role?

3. One project/result you’re proud of - and what you actually did.

At deeplify, we’re building the first AI-native asset integrity co-pilot for critical industrial infrastructure.