Artificial Intelligence Engineer

Workspace 365 is looking for a motivated and independent Artificial Intelligence Engineer. In this role, you will be responsible for further developing our product in the field of AI. 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.

Our core values are: You learn, You own, You improve.

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, including building Retrieval-Augmented Generation (RAG) systems that connect to all our data sources.

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

Your tasks and responsibilities:

• AI development: Build and deploy RAG-based AI systems and integrate them with Workspace 365.
• Data preparation: Collect, clean, normalize, and prepare data for model training and validation.
• Evaluation & reporting: Create reusable datasets and internal reports to measure AI assistant performance (speed, accuracy, and overall effectiveness).
• Research & advice: Stay on top of generative AI developments, advise the team on strategies, and propose optimizations.
• AI 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.

Skills and experience:

Minimum requirements:

• 2+ years of hands-on experience in NLP, ML, or generative AI
• Proficiency in Python (C# is a plus) and relevant ML libraries (NumPy, Pandas, PyTorch)
• Solid foundational knowledge of AI, ML, and LLM-based approaches
• Experience training, finetuning, and evaluating AI models
• Independent, proactive, and able to tackle complex real-world problems for large-scale users

Preferred:

• Experience with:
• 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

What’s in it for you:

• The opportunity to contribute to the further growth of Workspace 365
• An educational environment with ample feedback and expectations
• A role where responsibility, trust, and freedom are central
• An enthusiastic team with intelligent, friendly, and driven colleagues
• Opportunities for professional and personal development, supported by our annual training budget of 1000 euros
• 25 vacation days and the possibility of 4 "you-day" days per year
• Salary. The range goes up to 4500 euros gross per month based on a 40-hour workweek
• Fresh fruit daily and a delightful lunch at the office
• Pension scheme

Does Workspace 365 appeal to you?

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