Job
- Level
- Lead
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- München
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du komplexe, produktionsreife KI-Lösungen, arbeitest an strengen Engineering-Standards und mentorst andere Ingenieure, um die Qualität und Effizienz in Projekten entscheidend zu steigern.
Job Technologien
Deine Rolle im Team
- You build the systems other engineers learn from. At appliedAI, we help Europe's leading companies turn ambitious AI and digitalization strategies into production-grade software - and you take end-to-end ownership of that delivery for our most complex client engagements, while setting the engineering standard that elevates the entire Engineering team.
- Architecting and implementing production-grade software and AI solutions for enterprise clients - spanning classical ML, GenAI applications, validated RAG, and agentic systems, alongside the broader digital and software architecture around them - with attention to security, scalability, hybrid/cloud deployments, and operational maturity.
- Defining and championing engineering excellence across the team: code quality, design reviews, evaluation harnesses, observability, security, and MLOps standards.
- Leading technical delivery from target architecture through production hardening and client handover, working closely with engagement leads on scope and value.
- Building reusable engineering accelerators - templates, libraries, and evaluation frameworks - that multiply the impact of the wider Engineering team.
- Mentoring mid-level and senior engineers, facilitating technical guilds, and driving a culture of shared knowledge and continuous improvement.
Unsere Erwartungen an dich
Qualifikationen
- Deep engineering foundation across distributed systems, APIs, data pipelines, cloud-native architecture (Azure, AWS, or GCP), containers, CI/CD, and MLOps.
- Strong command of Python and solid exposure to the modern AI stack - LangChain/LangGraph, vector stores, evaluation frameworks, or platforms such as Azure AI Foundry - or a proven ability to master this stack rapidly given your engineering depth.
- A demonstrable track record leading complex, end-to-end technical delivery in client-facing settings, at enterprise scale.
- Pragmatic and code-first in your approach; opinionated about quality, evaluation, security, and operational maturity.
- Fluent in both English and German.
Erfahrung
- 10+ years of software engineering experience, including a strong track record at principal or lead level - as an AI/ML engineer, software architect, digitalization lead, or solution architect - with meaningful exposure to AI/ML systems in production or a demonstrated ability to grow quickly into that depth.
Unser Angebot
- A highly qualified and motivated team of ~90 people is on a journey to change the rapidly evolving European AI Landscape.
- Experience the best of both worlds with our hybrid work model: You can choose to work from our vibrant offices - either at the IPAI in Heilbronn or the House of Communication in Munich - while also enjoying the flexibility to work remotely a few days each week.
- Opportunity to shape a variety of projects and the development of new, original content based on the latest developments in AI and its adoption in businesses.
- An atmosphere that encourages to think and experiment in new ways with software, hardware, and processes.
- A highly visible initiative that helps you build a large and high-level network of start-ups, partners, and tech companies.
- A flexible development budget that's yours to shape - invest it in training, certifications, conferences, or new challenges, however you want to grow.
Benefits
Gesundheit, Fitness & Fun
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
appliedAI
Die 2017 in München gegründete appliedAI Initiative GmbH unterstützt Unternehmen bei der Implementierung vertrauenswürdiger KI-Technologien und fungiert als Plattform für Kooperationen zwischen verschiedenen Sektoren.
Description
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Principal AI Engineer
- Ort
- München
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
