AI Engineer (m/f/x) - Focus: Software Engineering München (81671) München (81671)

Das ist der Job

We share a mindset of collaboration and openness with our ecosystem of leading companies and tech players.

Darum lohnt es sich

With our uniquely diverse, interdisciplinary, and driven team, we build on deep technical expertise while specializing on applicability of the solutions. Guide partner teams from PoC to scalable, maintainable solutions deployed in production. You thrive in high‑performing teams and have the drive to learn, improve, and contribute to appliedAI.

Excellent technical, analytical, and problem‑solving skills; clear communication with customers and teammates. A highly qualified and motivated team of ~90 people is on a journey to change the rapidly evolving European AI Landscape.

Benefits 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.

JobRad: Lease a bike for a cheaper rate via JobRad and we cover the bike insurance on top. Benefit from free support in areas like life coaching, child care and many other options. 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. 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.

As an AI Engineer in the Professional Services organization, you will apply AI in real‑world settings and take solutions from proof of concept to production rollout across our customers’ organizations.

This is an engineering role with a clear focus on software engineering: scalable services, robust APIs, reliable pipelines, and operational excellence—beyond notebooks and prototypes. Responsibilities Design, build, and operate production‑grade AI features and services end to end.

Implement clean, testable software integrating ML/LLM components (APIs, microservices, event‑driven systems). Develop reliable data/feature pipelines; enforce data quality, lineage, and reproducibility. Productionize models with strong evaluation, safety, and observability practices.

Optimize for reliability, latency, throughput, and cost; instrument metrics, logs, and tracing. Collaborate closely with AI strategists and program managers to deliver measurable impact for customers. Contribute to pre‑sales by providing technical input for scoping, effort estimates, and solution options.

Explicit focus: robust, end‑to‑end enterprise solutions. Qualifications STEM degree (preferably Computer Science or Engineering). 2–5+ years in a comparable engineering role. Strong experience in Python; solid grasp of software design and professional engineering workflows (Git, testing, code review, CI/CD).

Experience delivering machine learning projects in production or near‑production settings. Foundational knowledge in statistics and machine learning; experience with ML/LLM integration a plus. Understanding of cloud‑native development (Docker, Kubernetes), APIs/microservices, and data stores. Fluent English, ideally fluent German.

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. No fixed budget for growth – you decide how you want to develop, whether through training, certifications, conferences, or new challenges.

Sports membership with Wellpass to access thousands of sports facilities all over Germany (and beyond), as well as online courses. Sabbatical option: you can take a sabbatical of up to 3 months after a minimum of 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. 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. #J-18808-Ljbffr