Generative AI Engineer (m/f/x) München (81671) München (81671)

Stellenbeschreibung:

Overview

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 in the 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.

Your mission

As a Generative AI Engineer, you operate at the intersection of AI research and software engineering, applying your expertise in Generative AI, Large Language Models (LLMs), Deep Learning, and Agent Systems to develop cutting‑edge AI applications. You are passionate about transforming AI advancements into real‑world solutions that drive business innovation across industries. As part of the AI Engineering team at appliedAI, you will collaborate with AI experts, AI strategists and external partners to create high‑impact, cutting‑edge prototypes and production‑ready AI solutions that drive meaningful innovation.

You focus on strategically applying Generative AI and multi‑agent systems to solve complex business challenges, accelerating AI adoption across industries
Responsibility for designing and implementing RAG solutions, agentic workflows, and multi‑agent systems tailored to specific customer needs
Maintaining the highest engineering standards, you contribute to collaborative technology development within appliedAI and across the appliedAI Partner ecosystem
Bridging the gap between AI research and software engineering, ensuring robust, scalable, and efficient AI system design
Taking a leading role in leveraging advancements in AI technologies, such as LLM deployments and optimization techniques, to drive customer value

Your profile

Strong expertise in machine learning, deep learning, and generative AI techniques with a solid academic background in Data Science, Machine Learning, Mathematics, Physics, or similar
At least 2 years of experience in a comparable engineering role, Software Development, or a related field, with proficiency in Python and GenAI‑specific frameworks such as LangChain , LangGraph , AutoGen , Azure AI Foundry, Computer Use e tc.
Solid understanding of Transformer architectures, embedding models, and Prompt Engineering techniques such as chain of thoughts, along with initial experience in AI Agent frameworks
Familiarity with DevOps and MLOps practices, including containerization, CI/CD, and automation of LLM deployments and optimization techniques as well as knowledge of using cloud platforms like Microsoft Azure, AWS or GCP
Strong problem‑solving, analytical, and communication skills, with the ability to collaborate effectively across teams and external partners
Passion for continuous learning, innovation, and contributing to high‑performing teams
Expertise and Project Experience with Vision Language Model (VLM) and Opensource SLMs is a plus
Fluent German and English is required

What we offer

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
Hottest topics of the next decade and freedom and trust to initiate own activities
A highly visible initiative that helps you build a large and high‑level network of start‑ups, partners, and tech companies
Sports membership with Wellpass to access thousands of sports facilities all over Germany (and beyond)
JobRad leasing option
You can take a sabbatical of up to 3 months after 3 years of employment – because sometimes 30 vacation days are not enough to explore the beauty of this world.