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Lead Engineer - Applied AI & Data Products

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Austria📅 9/10/2026

Descripción

1 Lead Engineer - Applied AI & Data Products from now Your Tasks * 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. Your Qualifications * 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 hi
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