Job
- Level
- Lead
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop complex production-grade AI solutions, work on strict engineering standards, and mentor other engineers to significantly enhance quality and efficiency in projects.
Job Technologies
Your role in the 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.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- 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.
Experience
- 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.
This text has been machine translated. Show original
What we offer
- A highly qualified and motivated team of approximately 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 thinking and experimenting 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.
This text has been machine translated. Show original
Benefits
Health, Fitness & Fun
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
appliedAI
Founded in 2017 in Munich, appliedAI Initiative GmbH supports companies in implementing trustworthy AI technologies and serves as a platform for cooperation between various sectors.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Principal AI Engineer
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
