Location: Berlin, Germany (Hybrid position)
Type: Full-Time
Entry Date: Immediately
Talonic is a dynamic and innovative AI start-up dedicated to making data and analytics accessible to everyone. We are looking for a passionate and experienced Python developer to join our growing team, who will play a pivotal role at our software development. Talonic is backed by the Humboldt University of Berlin, K.I.E.Z., Science & Startups, NVidia Inception, Microsoft and more.
As a Senior Full Stack Developer (Python Experience) at Talonic, you'll have a hands-on role building, training, and optimizing AI-driven systems and data tools. You’ll work closely with our technical team to develop backend architectures, fine-tune AI models, and help manage large-scale data operations.
This role is perfect for someone with a deep curiosity for data, who enjoys solving technical challenges, loves experimenting with AI models, and wants to help shape a young and ambitious company.
At Talonic, we value curiosity, initiative, and a growth mindset. You'll have the support you need but also the freedom to test new ideas, explore modern technologies, and own your projects end-to-end.
Salary: Based on experience, with the opportunity for a significant increase after our next fundraising round.
Remote Work: This is a hybrid position, offering the flexibility to work remotely with the option to use our office at Humboldt University or at K.I.E.Z. in Berlin. Some in-person attendance is required for team meetings and occasional start-up or industry events.
Location: The hire needs to be located in Berlin or within close, physical proximity.
Growth Opportunity: Gain deep insights into all aspects of the business and take your career to the next level. Be a part of a fast-growing start-up where you can make a real impact.
Supportive Culture: We promote a safe, inclusive, and supportive work environment where everyone's ideas are valued, and we avoid micro-management.
Learning Environment: We believe in continuous learning and growth, providing a space for you to explore new technologies, methodologies, and approaches in data engineering.
Typ:
VollzeitArbeitsmodell:
HybridKategorie:
Development & ITErfahrung:
SeniorArbeitsverhältnis:
AngestelltVeröffentlichungsdatum:
25 Sep 2025Standort:
Berlin
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