Senior Software Engineer - AI

Description

You’re excited about the potential of foundation models — and not just in theory. You want to work with cutting-edge AI systems and bring them into production: building custom solutions, integrating them into complex applications, and making them work for users. At SQUER, you’ll consult, delivering impactful solutions directly for and with our clients across industries. If you combine strong software engineering skills with a deep interest in AI, we’d love to hear from you.

Your tasks

• AI Engineering: Design and develop robust, scalable, and maintainable software solutions integrating machine learning models.
• Foundation Models: Work with existing foundation models and develop custom AI solutions tailored to client needs.
• Software Craftsmanship: Apply engineering best practices to ensure quality, performance, and security in AI-driven systems.
• System Integration: Collaborate with cross-functional teams to embed AI capabilities in broader software landscapes.
• ML Pipelines: Optimize training, inference, and deployment workflows across the full model lifecycle.
• Internal Tools: Contribute to internal libraries and tools that accelerate the delivery of AI-based services.
• AI Strategy: Help shape the direction of AI at SQUER through hands-on expertise and strategic input.

Your qualifications

• Software Engineering: Extensive experience in Java or TypeScript with a strong focus on clean code and architecture.
• Python & ML Frameworks: Bonus if you're proficient in Python and familiar with frameworks like TensorFlow, PyTorch, or similar.
• Backend Experience: Solid knowledge of backend technologies (e.g., Java, Node.js) and RESTful API development.
• CI/CD & Architecture: Deep understanding of modern development workflows, architecture patterns, and delivery pipelines.
• Foundation Model Know-how: Practical experience working with or adapting foundation models in real-world applications.
• Cloud Knowledge: Familiarity with AWS, GCP, or Azure, especially their AI/ML capabilities.
• Data Engineering: Experience with ETL workflows, feature engineering, and scalable data processing.
• MLOps Familiarity: Understanding of model deployment, monitoring, and lifecycle management in production.
• Mindset: Problem-solving-oriented, hands-on, and comfortable working in agile, interdisciplinary teams.

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 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.

About us

We 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.



    frameborder="0">