Job
- Level
- Lead
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- München
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Position entwerfen und implementieren Sie komplexe, produktionsreife KI-Lösungen für industrielle Kunden, fördern technische Exzellenz und leiten Ingenieure in einem dynamischen, grenzüberschreitenden Umfeld an.
Job Technologien
Deine Rolle im Team
- You build the AI systems other engineers learn from. At appliedAI, our industrial engagements sit at the demanding intersection of regulated environments, plant-grade infrastructure, and rapidly evolving AI capability - and you thrive there.
- In this role, you take end-to-end ownership of production AI delivery for our most complex industrial clients, while setting the engineering standard that elevates the entire AI Engineering team.
- Your tasks will include:
- Architecting and implementing production-grade AI solutions for industrial clients - spanning classical ML, GenAI applications, validated RAG, and agentic systems - with deliberate attention to OT/edge constraints, validation gates, on-prem and hybrid deployments, and MLOps 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 in close collaboration with engagement leads on scope and value.
- Building reusable engineering accelerators - templates, libraries, and evaluation frameworks - that multiply the impact of the wider AI 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 the modern AI stack - including PyTorch, LangChain/LangGraph, vector stores, evaluation frameworks, and platforms such as Azure AI Foundry.
- Pragmatic and code-first in your approach; opinionated about quality, evaluation, security, and operational maturity.
- Fluent in English; working proficiency in German is a strong plus.
Erfahrung
- 10+ years of software engineering experience, with at least 5 years building and operating AI/ML systems in production environments.
- A demonstrable track record leading complex, end-to-end AI engineering in client-facing settings - experience in industrial or regulated contexts is a strong advantage.
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.
- No fixed budget for growth - you decide how you want to develop, whether through training, certifications, conferences, or new challenges.
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 Software Engineer
- Ort
- München
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
