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AI & Data Engineer

Pubblicato il 03-09-2026 - UNGUESS in Milano

Location: Remote-first
Job type: Full-time
About the job:
Can you imagine a world where business and digital solutions will be truly seamless and where users will help companies to co-create them? Do you want to help us to shape this human-centred world? Welcome to UNGUESS.
UNGUESS is the crowdsourcing platform for effective testing and real insights that enable tech, digital and business leaders to make smarter decisions, faster. How? Unleashing the power of the crowd, a community of highly engaged people all over the world that allows us to bring end-customer insights into the design, development, and testing phases of a product.
Why work at UNGUESS:
At UNGUESS, you’ll have the chance to make an immediate impact in a fast-paced and dynamic environment. We’re growing rapidly and strengthening our market position. Joining us now means stepping into an exciting challenge: one that won’t always be easy, but will undoubtedly be among the most rewarding and fulfilling experiences of your career. You’ll constantly learn, grow,



and apply your full skill set across diverse and stimulating projects.
This is not a traditional data engineering position. Around 60–70% of your work will focus on GenAI, RAG systems, vector search, and natural language understanding (NLU). The remaining part will cover classic data engineering responsibilities such as ETL pipelines and data modeling. You won’t just maintain existing systems, you’ll be the first building block of something new, laying the foundations for a knowledge base that transforms raw testing data into intelligent, queryable insights.
Your mission:
As our first dedicated Data Engineer, you will be the architect of the infrastructure that makes this vision possible. You’ll own the design, implementation, and scalability of our data stack, working closely with the product and development teams.
We are a rapidly growing tech company with the ambition of building an LLM-queryable Knowledge Base by leveraging existing but current

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