Work from Office
Full Time
As a specialist in electronics and software for the past 20 years, in-tech is a dynamic, fast-growing engineering company headquartered in Munich, Germany employing around 2350 employees globally across 20 project locations in 8 countries.
in-tech develops innovative engineering solutions for the automotive, rail, aerospace, defence, and industrial sectors.
We are committed to a flexible, modern work culture and work-life balance. Our colour orange stands for liveliness, warmth, and dynamism. We value a strong team spirit, fresh ideas and a positive work culture. We call it the Orange Spirit !
Design, plan, and implement AI, Generative AI, and Agentic-AI architectures for customer projects
Develop custom end-to-end GenAI and LLM-based solutions, using frameworks such as LangChain, LangGraph, AutoGen, HuggingFace, and OpenAI APIs
Implement and operate machine learning systems using TensorFlow, PyTorch, and modern LLM/ML tooling
Build and manage cloud-based AI ecosystems on AWS, Azure, or GCP, including architecture design and platform operations
Apply DevOps/MLOps and LLMOps practices, including CI/CD pipelines, containerization (Docker, Kubernetes), and model deployment workflows
Collaborate closely with enterprise architects, engineering teams, and C-level stakeholders to align AI roadmaps and solution strategies
Evaluate and introduce new AI technologies, frameworks, and agentic tools to expand the organization s (Gen)AI capabilities
Lead the technical execution of proof-of-concepts (PoCs) in an agile environment
Provide strategic consulting on cloud-native, scalable, and secure AI platform architectures
Degree in (Business) Computer Science, Engineering, or a comparable technical field
5+ years of experience as a Solutions Architect or Enterprise Architect in cloud/data environments
Proven experience developing and integrating LLM or Generative AI solutions into production systems
Hands-on project experience designing complex cloud architectures on AWS, Azure, or GCPStrong knowledge of AI/ML development with Python and major ML frameworks (TensorFlow, PyTorch, HuggingFace)
Practical experience with agentic AI frameworks (e.g., LangGraph, AutoGen) and LLM orchestration tools
Experience with MLOps, DevOps, and container technologies such as Docker and Kubernetes; familiarity with CI/CD for ML models
Understanding of architecture frameworks and agile methods (Scrum, Kanban)
Excellent English communication skillsWillingness to travel, depending on project requirements
If you have experience and team spirit and are looking for a great place to work, then start your job with us.
As part of our dedication to the diversity of our workforce, in-tech is committed to equal employment opportunity without regard for age, race, colour, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion.
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