Jobs / Summary

AI Engineer (f/m/d)

Confidential company · Berlin · Munich · Posted Sep 30, 2026

Sign in to save

Full job access

Unlock the company and apply directly

Pay once for the period you choose. Nothing renews automatically.

  • Company names
  • Original job descriptions
  • Direct application links
  • Saved jobs and alerts
Choose an access pass

Secure checkout via Stripe. No subscription.

Compare plans

Public summary

Join a leading mobility joint venture developing public charging solutions for electric vehicles, operating across multiple Charge Point Operators' networks. Work with an international, collaborative team in modern offices located in Berlin and Munich, focusing on AI and ML solutions that impact electromobility and sustainable transportation.

Location and work setup

Location
Berlin, Munich
Remote status
Hybrid
German requirement signal
No German Required Detected
Detected job language
English

Responsibilities

Deliver AI and ML solutions addressing real business challenges and creating measurable value; manage end-to-end journey from business problem definition to live product deployment and continuous improvement; select appropriate approaches such as deterministic automation, Machine Learning, Applied AI, or agentic systems; shape AI engineering principles, architecture, evaluation, observability, and production standards; build shared AI capabilities to accelerate usage across teams.

Qualifications

Strong hands-on experience in Machine Learning, Applied AI, and Python with solid software engineering fundamentals; practical experience across the ML/AI product lifecycle including data, modeling, deployment, and monitoring; solid understanding of modern AI engineering principles and design patterns, including large language models and agentic AI; pragmatic judgment for technical approach selection; strong ownership and clear communication skills with both technical and non-technical stakeholders.

Skills

Machine Learning Applied AI Python Software Engineering AI Engineering Principles LLMs Agentic AI Product Lifecycle Management Data Modeling Deployment Monitoring