AI Platform Engineer (f/m/d)

Meyandy LLC; München; Hybrid; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Munich Electrification is seeking an AI Platform Engineer to architect and build a scalable, end-to-end platform for AI-driven initiatives. You will develop backend services and APIs, manage data ingestion for vector/graph databases, and create internal tools for engineers, data scientists, and managers.

You will collaborate with software and data science teams, apply your Python/Go skills, and leverage Docker, Kubernetes, Terraform, and AWS to deploy robust production systems.

Qualifikationen

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• Proven experience as Software/Platform/AI/MLOps Engineer with strong software development.
• Strong proficiency in Python or Go with production-grade applications.
• Experience designing and building APIs and backend services, ideally with FastAPI.
• Solid understanding of AI/ML concepts, particularly LLMs, RAG, and vector databases.
• Hands-on experience with Docker and Kubernetes, IaC with Terraform, and AWS.
• Familiarity with modern JavaScript/TypeScript and a UI framework for internal tools is a plus.

Aufgaben

• Develop Core Platform Services: design, build, and operate backend services and APIs for AI models and ML lifecycle.
• Develop the Data Ingestion Platform: maintain services/workflows for vector/graph databases for timely data.
• Build Full-Stack Tooling: create internal dashboards for developers, data scientists, and managers.
• Own the Application & Model Lifecycle: maintain core platform components and ensure production performance.
• Collaborate and Enable: work with software and data science teams to gather requirements and accelerate work.

Kenntnisse

Python

Go

API design

AI/ML concepts

Data pipeline design

CI/CD practices

Team collaboration

English communication

Ausbildung

Bachelor's degree in Computer Science/Engineering or equivalent

Tools

Docker

Kubernetes

Terraform

AWS

FastAPI

React/TypeScript

Jobbeschreibung

**About Munich Electrification**Munich Electrification is an innovative company founded with the aim of accelerating the transition to electric and connected mobility. We develop innovative electronic control units for electric vehicles and stationary storage systems for our global customers. Our international team is composed of highly motivated and exceptional engineers. As a small and specialized team we are well-aware of the importance of each individual colleague and support and promote each employee according to their abilities and needs. Our office with adjacent prototype and testing lab is located in the heart of Munich at the Heimeranplatz.This is what we stand for:- **Technological Leadership**: We challenge norms, innovate quickly, and anticipate future needs. We take smart risks and learn from outcomes to stay ahead.- **Sustainability**: We actively drive change for a sustainable future, aware of our impact and inspiring others to build a better world.- **Team Culture**: We believe work should be enjoyable, fostering a spirit of inspiration, celebration, and teamwork across the globe.- **Entrepreneurial Spirit**: We embrace change, think big, and push limits with passion.**Your role**As an AI Platform Engineer, you will be a key architect of the software and systems that empower our AI-driven initiatives. More than just managing infrastructure, you will be actively building the cohesive, end-to-end platform that enables our teams to develop, deploy, and scale applications rapidly. You will engineer robust backend services, create internal tools, and design the automated workflows that form the foundation of our AI capabilities. If you are a software engineer passionate about building scalable platforms and bringing AI models to life through high-quality code, this is the perfect opportunity for you.**As part of your role, you would maintain and develop:*** **Develop Core Platform Services:** Design, build, and operate the backend services and APIs that serve our AI models and manage the ML lifecycle.* **Develop the Data Ingestion Platform:** Design, build, and maintain the services and automated workflows responsible for populating our vector and graph databases, ensuring our AI applications have access to timely and accurate data* **Build Full-Stack Tooling:** Create user-facing tools and internal dashboards that allow developers, data scientists and managers to interact with the AI platform.* **Own the Application & Model Lifecycle:** Implement and maintain the core platform components and ensure the performance of production systems.* **Collaborate and Enable:** Work closely with software and data science teams to understand their needs, gather requirements for the platform, and provide the tools and support that accelerate their work.**What you bring with you:*** Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.* Proven experience as a Software Engineer, Platform Engineer, or an AI/MLOps Engineer with a strong software development background.* Strong proficiency in **Python** or **Go**, with a track record of building scalable, production-grade applications.* Experience designing and building APIs and backend services, ideally with frameworks like **FastAPI**.* A solid understanding of AI/ML concepts, particularly **Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and vector databases**.* Hands-on experience with **Docker** and **Kubernetes** for containerization and orchestration.* Experience with Infrastructure as Code (e.g., **Terraform**) and cloud platforms (preferably **AWS**).* Familiarity with modern JavaScript/TypeScript and a UI framework (e.g., React, Vue) for building internal tools is a significant plus.**Our Offer & Benefits**The chance to be part o...