Principal AI Engineer (m/f/x) - AI & Digital Systems at appliedAI

Heilbronn, Baden-Württemberg, Germany -

Full Time

Start Date

Immediate

Expiry Date

04 Oct, 26

Salary

0.0

Posted On

06 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Systems, Software Architecture, Python, LangChain, LangGraph, Vector Stores, Azure AI Foundry, MLOps, Cloud-Native Architecture, Distributed Systems, CI/CD, RAG, Agentic Systems, API Design, Data Pipelines, Enterprise Software Delivery

Industry

technology;Information and Internet

Description

About us The appliedAI Initiative elevates Europe’s industry to become shapers in the age of AI, creating a future that we desire to live in. Through our ecosystem of strong partners, comprehensive programs, services and solutions we advance companies holistically on their AI journey. With our uniquely diverse, interdisciplinary, and driven team, we build on deep technical expertise while specializing on applicability of the solutions. We share a mindset of collaboration and openness with our ecosystem of leading companies and tech players. Our common goal is to strengthen the European landscape, jointly creating unique knowledge for applying trustworthy AI. We believe that AI Agents will be the dominant topic for AI in the near future and that appliedAI with its partner ecosystem will impact how this technology is being used in industry and beyond in Europe. Your mission 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. Whether your depth comes from AI/ML systems, large-scale digitalization programs, or solution architecture for complex enterprise environments, you thrive on turning ambiguity into scalable, well-governed systems. Your tasks will include: 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 Your profile 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 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 What we offer 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 Sports membership with Wellpass to access thousands of sports facilities all over Germany (and beyond), as well as online courses JobRad: Lease a bike for a cheaper rate via JobRad and we cover the bike insurance on top Sabbatical option: You can take a sabbatical of up to 3 months after min. 3 years of employment - because sometimes 30 vacation days are not enough to explore the beauty of this world PME Familienservice: A 24/7 support for a successful work & life in any life situation. Benefit from free support in areas like life coaching, child care and many other options Mobility budget: Every month we contribute to your individual mobility usage with public transport or shared mobility offers within the app Moovster Workation: Work from anywhere in the EU/EWR area for up to 3 months per year - combining working at a nice place and spending your leisure time in the evening like vacation Contact Lucas Fernandes - Senior Talent Acquisition Specialist appliedAI Initiative GmbH, August-Everding-Str. 25, 81671 München About us Find out more on https://www.appliedai.de/ and https://www.appliedai-institute.de/

Responsibilities

Architect and implement production-grade AI and software solutions for enterprise clients, focusing on GenAI, RAG, and agentic systems. Lead technical delivery and establish engineering standards while mentoring senior and mid-level engineers.