AI Product Engineer - m/w/d

Permanent employee, Full-time · Berlin, Remote

Your mission

Your Mission

Build and fine-tune advanced AI models for contract analysis and workflow automation
Integrate and process large-scale data from APIs, documents, and client systems—using the latest RAG, trace, and vector storage technologies
Develop robust backend systems and conversational interfaces for natural language queries and proactive insights
Work closely with Product and Engineering to deliver features that make a real difference
Architect scalable, secure solutions for Europe’s top real estate teams

Your profile

What You’ll Bring

3+ years in AI or software engineering, with at least 2 years focused on AI engineering (RAG, chat interfaces, agentic systems using modern tech from 2022 or newer)
Solid experience in backend engineering for generative AI, including traces and vector storage
Proven success deploying machine learning models to production
Skilled in API integrations and building scalable cloud architectures
Proficient in Python, JavaScript, and SQL or NoSQL
Strong analytical, problem-solving, and communication skills
A passion for innovation, and for the real estate sector

Why us?

Why Join Us?

Play a key part in building an AI-powered platform with real-world impact
Competitive salary, performance bonus, and equity options
Flexible, fully remote work set-up
Budget for conferences, learning, and personal development
Two meeting-free days per week to help you focus
Supportive, fast-paced culture that values ownership, innovation, and continuous learning

Applicants must be eligible to work in: EU countries, Switzerland, UK, or Norway.

Apply for this job

About us

Berlin-based startup Saypien is building an architectural intelligence layer that is agentic, modular, and domain-aware. It ingests heterogeneous data, learns the context of a business, and continuously provides decision-ready guidance across products and teams. We are looking for engineers who can contribute to this core platform.

Ihre Aufgaben

Build and optimize advanced AI models for contract analysis and workflow automation
Integrate and process large-scale data from APIs, documents, and client systems using the latest RAG, traces, and vector storage technologies
Develop robust backend systems and conversational interfaces for natural language querying and proactive insights
Collaborate with Product and Engineering to deliver features that drive real impact
Architect scalable, secure solutions for Europe’s leading real estate teams

Ihr Profil

Three or more years of experience in AI or software engineering, with at least two years focused on AI engineering in RAG, chat interfaces, and agentic systems using technologies from 2022 or newer

Strong experience in backend engineering for generative AI, including traces and vector storage
Proven track record of deploying machine learning models in production
Experience with API integrations and scalable cloud architectures
Proficiency in Python, JavaScript, and SQL or NoSQL
Strong analytical, problem-solving, and communication skills
Passion for innovation and the real estate sector

Warum wir?

A pivotal role in building a new AI-powered platform with real-world impact
Competitive compensation (base plus performance bonus) and equity options
Flexible, fully remote work environment
Budget for conferences, learning, and personal development
2 meeting-free days per week so you can fully focus on shipping
Fast-paced, supportive culture that values ownership, innovation, and continuous learning

Apply for this job

Über uns

Das Berliner Startup Saypien entwickelt eine intelligente Plattformebene, die agentisch, modular und domänenorientiert arbeitet. Sie verarbeitet heterogene Daten, versteht den geschäftlichen Kontext und liefert kontinuierlich entscheidungsreife Empfehlungen für Produkte und Teams. Wir suchen Engineers, die diese Kernplattform mitgestalten möchten.

Apply for this job

Your application!

We appreciate your interest in Demo GmbH. Please fill in the following short form. Should you have any difficulties in uploading your files, please contact us by mail at demodaten@demo.de.