Python Engineer

Job Description

Workspace 365 is looking for a motivated and independent Python Engineer. In this role, you’ll design, build, evaluate, and deploy AI functionalities for Workspace 365’s flagship product. You will be actively involved in innovation, contributing directly to our mission: everything simplified.

Workspace 365

Workspace 365 has a clear mission: simplifying the digital work experience. We believe that simplicity leads to greater happiness and productivity, and better collaboration. Over the years, we have worked hard on our Adaptive Digital Workplace and are determined to achieve even more. However, we are also just people. In this team, that’s what we aim for. We are not looking for perfection. We want people who are willing to learn, embrace it, and improve.

You’ll be part of an international and friendly team with Wesley, Sudhakaran and Alvaro, where commitment, fast innovation and a good sense of humor go hand in hand to build features our end users genuinely benefit from.

Your role

You’ll design, build, evaluate, and deploy AI functionalities for Workspace 365’s flagship product. A big focus is on creating and improving our AI Assistant framework, including building Retrieval-Augmented Generation (RAG) systems that connect to all our data sources.

This role combines hands-on AI development with collaboration across teams to solve real business problems and deliver intelligent, performant solutions.

Your tasks and responsibilities:

• Development: Build the Workspace 365 AI systems.
• Research & advice: Stay on top of generative AI developments, advise the team on strategies, and propose optimizations.
• Awareness & advocacy: Share knowledge internally about effective AI use and highlight risks of misuse.
• Continuous improvement: Proactively push to make our AI assistant best-in-market for supporting our users.
  
  

Job requirements

Must haves

• You bring a minimum of 6 years of work experience as a Python developer;
• Solid foundational knowledge of LLM-based approaches
• Professional command of the English language;
• Independent, proactive, and able to tackle complex real-world problems for large-scale users
  
  

Preferred:

• RAG Systems and prompt engineering
• Model inference pipelines (data curation → deployment)
• Deploying Dockerized API services on cloud platforms (Azure preferred)
• Clear vision for supporting AI growth in a fast-scaling company
  
  

Our core tech stack:

• AI/ML: OpenAI GPTs, LangChain, HuggingFace, PyTorch, Openrouter
• Backend & infrastructure: FastAPI, Pydantic, DVC, Docker, Microsoft Azure
• Data & search: Elasticsearch, Redis, MSSQL
• Messaging & orchestration: RabbitMQ
  
  

Does Workspace 365 appeal to you?

Great! We look forward to receiving your application. For questions, please reach out to Wesley de Graaf via [email protected]