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Backend Engineer - Deepdesk

  • Remote, Hybrid
    • Amersfoort, Utrecht, Netherlands
  • Deepdesk

Job description

We are looking for a Python Backend Engineer to design and develop scalable, robust systems that support AI-driven customer service solutions.  

Our core value, "Think Human," guides everything we do—creating AI that amplifies human abilities rather than replacing them. From developing our own Dutch GPT-2 generative model to crafting tailored AI solutions for large enterprise customer service teams, we’re proud to help businesses navigate the complex, ever-evolving world of AI, with a human-first approach. 

DeepDesk: An Anywhere365-certified workplace solution—empowering seamless communication and collaboration from anywhere, anytime. At Deepdesk, we're a forward-thinking GenAI startup that believes in the power of artificial intelligence to enhance human potential. Our core value, "Think Human," guides everything we do—creating AI that amplifies human abilities rather than replacing them. From developing our own Dutch GPT-2 generative model to crafting tailored AI solutions for large enterprise customer service teams, we’re proud to help businesses navigate the complex, ever-evolving world of AI, with a human-first approach. 

 

Job requirements

  • Collaborate with cross-functional teams to translate complex feature requests into scalable, user-centric solutions. 

  • Oversee the development of microservices, ensuring smooth and efficient implementation from start to finish. 

  • Lead or participate in architecture discussions to create scalable and resilient solutions for enterprise-grade customer service applications. 

Required Experience 

  • A creative and pragmatic approach to problem-solving;  

  • Solid background in Python backend development (~10 years), including extensive work with Django, and other web frameworks such as Flask, and FastAPI; 

  • Extensive experience with relational databases (PostgreSQL), SQL, and  

database migrations; 

  • Experience with Celery/RabbitMQ; 

  • Hands-on experience with Cloud Services (such as Google Cloud), and Kubernetes; 

or

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