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# Lead Engineer - Applied AI & Data Products

- **Company:** SQUER Solutions GmbH
- **Location:** München, Germany
- **Experience:** Expert
- **Salary:** €81,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, C Sharp (Programming Language), Databases, Python (Programming Language), NoSQL, Software Engineering, SQL Databases, Data Processing, Cloud Platform System, Large Language Models, AI Platforms, Api Design, Data Pipelines
- **Published:** July 19, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=7cf91053fc3612ab

## About the Role

* Extensive Software Engineering Experience: Several years of hands-on and architectural experience in software engineering (e.g., Python, Java, C#, JS/TS, or similar).
 * Applied AI Depth: Proven, independent experience applying AI services in production (e.g., LLMs, NLP APIs, cognitive services), not just experimenting.
 * Cloud Platform Ownership: Confident designing and deploying AI-driven features on AWS, GCP, or Azure at production scale.
 * Data & API Architecture: Strong understanding of data processing, APIs, and databases (SQL & NoSQL), with the ability to make architectural decisions independently.
 * Leadership & Mentorship: Ability to guide, coach, and develop other engineers, and to take responsibility for a team's delivery and satisfaction.
 * Customer-Facing Confidence: Comfortable representing SQUER independently to customers with a high degree of professionalism.
 * Languages: Fluency in German and English.

## Description

* AI-Powered Product Architecture: Design and own the architecture of AI-enhanced software products using modern cloud services and frameworks (e.g., Azure OpenAI, AWS Bedrock, LangChain).
 * Applied LLM & Expertise: Apply Large Language Models (LLMs), cognitive services, and related technologies to solve complex, high-impact customer problems independently.
 * Customer Consulting: Lead workshops and technical discussions with product managers, designers, and customer stakeholders, representing SQUER with confidence and identifying where AI adds measurable value.
 * Scalable Systems Design: Architect scalable data pipelines and APIs that power intelligent features in production-grade environments, taking full technical ownership.
 * Technical Leadership & Mentorship: Guide and develop engineers within your team, shape our applied AI engineering practices, and ensure project and team success.
 * Thought Leadership: Represent SQUER's applied AI expertise externally - through client relationships, internal knowledge-sharing, or community engagement.


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