Lead Engineer - Applied AI & Data Products

• 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 high degree of professionalism.
• Languages: Fluency in German and English.

Your Benefits Why You'll Love Working at SQUER:

• Ownership & Responsibility : at SQUER, we believe in empowering our team. In our flat hierarchies, your ideas and actions matter more than titles. Take the reins, make an impact and grow with us.
• Learn & Grow : Tap into a € 5.000 annual training budget to sharpen your skills and take advantage of our in-house Leadership Academy. Join and be part of our active tech community through meetups, hackathons and training sessions. Get up to 40h/year additional time off for your personal education.
• Exciting Challenges & Real Impact : Dive into diverse projects where your work truly makes a difference – for our clients and for SQUER.
• Flexibility for Performance : Benefit from hybrid work options, flexible hours, workations within the EU, and additional vacation days – giving you the freedom to perform at your best.
• Tailored Tools for Success : Choose your preferred hardware configuration and leverage our suite of AI tools and licenses (Anthropic, OpenAI, and more) to suit your working style.
• We Value You : Beyond perks and benefits, we offer a competitive annual salary to recognize your exceptional contributions.
• Be Part of a Thriving Team Culture : At SQUER, collaboration and connection are at the heart of what we do. Through open communication, shared successes, and meaningful team events – including our annual SQUER offsite – we cultivate a culture where everyone feels valued and inspired to grow together.
• A Perks-Packed Workplace : Work in a central office near Ostbahnhof and enjoy meal vouchers, EGYM Wellpass membership, a free Deutschland-Ticket, JobRad, referral bonuses, Corporate Benefits, and Pluxee employee gifts for special occasions.

We believe in transparent and fair compensation. For this role, the annual gross salary ranges between € 81.000 and € 103.000 – the exact placement depends on the seniority level we assess together during the process.

About usWe are dedicated to creating a supportive workplace where everyone can thrive and be proud to be part of the team. We encourage our colleagues to ask questions, try new things, pursue ongoing professional development, and take calculated risks.

Are you ready to learn and collaborate in independent agile teams? We are looking forward to meeting you.

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Source: Statistisches Bundesamt (Destatis), table; dl-de/by-2-0; StarIn's calculation