Senior Full Stack Developer

vor 1 Woche


Berlin, Berlin, Deutschland Talonic Vollzeit

Job Title: Senior Full Stack Developer (Python Experience)

Location: Berlin, Germany (Hybrid position)

Type: Full-Time

Entry Date: Immediately

Company Description:
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.

Job Description:
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.

What you'll do

  • Own and evolve our Python-based codebase (FastAPI, async pipelines, AI/LLM integrations, OCR).
  • Build and maintain pipelines that run on-premise and in the cloud, under a variety of hardware constraints.
  • Collaborate closely with product and business teams to turn ideas into scalable, maintainable solutions.
  • Tackle unusual technical puzzles — from parsing complex file formats to building sandboxed execution environments.
  • Experiment, prototype, and research when the best approach isn't obvious.

What we're looking for

  • Strong Python experience — ideally with async programming and FastAPI.
  • Background in building and delivering complex applications.
  • Experience in personally designing and building a system on your own.
  • Curiosity and adaptability: you're comfortable diving into unfamiliar domains (files, models, business rules, etc.).
  • Some Linux/DevOps/Cloud exposure — enough to deploy and debug systems in production.
  • Willingness to share knowledge and support teammates.

Nice to have

  • Experience with OCR, object detection models (YOLO or similar), or other ML integrations.
  • Familiarity with business operations or enterprise systems.
  • Experience building APIs, web applications, or enterprise-grade software.
  • Contributions to open-source or exploratory side projects.
  • Experience in working in a start-up.

Why join

  • Ownership
    : You'll shape the technical backbone of our platform.
  • Impact
    : Your work directly powers how businesses use AI to make sense of messy, complex data.
  • Growth
    : Room to explore applied AI/ML, performance engineering, and product-building at scale.
  • Adventure
    : You won't just maintain code — you'll solve problems no one has solved before.

Benefits:

  • 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.


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