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Founding Engineer | Platform & AI Foundations | Berlin | 100.000 EUR Shares

Location:
Berlin, Germany
Salary:
€100000 per annum
Job Type:
Permanent
Date Posted:
10 days ago
Expiry Date:
13/03/2026
Job Ref:
BH-124951
Start Date:
27/01/2026
Contact:
Thomas Dobbie
Contact Email:
thomas.dobbie@xcede.de
Specialism:
Software Engineering & ArchitectureSoftwareAI & Machine LearningAI EngineeringGenerative AIGermany
Founding Engineer | Platform & AI Foundations | Berlin | 100.000 EUR Shares

Location: Berlin (Hybrid, 3 days onsite)
Role Type: Founding Team / First Engineering Hire

We are an early-stage B2B SaaS startup in Berlin, founded by experienced operators with a strong track record of building and scaling software companies.

We are building an AI-native data platform that integrates deeply into complex go-to-market tool landscapes. Our product helps B2B teams understand, measure, and communicate customer value — and enables AI assistants and agents to take real, data-backed actions inside customer workflows.

This is a rare opportunity to join as the first engineering hire and take full technical ownership of a greenfield product.

The Role As our Founding Engineer (Platform & AI Foundations), you will define and build the technical backbone of the company.

You will design, implement, and own the core platform — from backend services and data architecture to AI integrations and cloud infrastructure. You’ll work closely with the founders, translate product vision into production systems, and set the technical standards for everything that follows.

This role is hands-on, high-ownership, and suited to an experienced engineer who enjoys ambiguity and building from zero to one.

What You’ll Be Doing Platform & Data

  • Design and build the core backend platform and APIs

  • Own data modelling and storage across transactional, analytical, and AI-driven use cases

  • Establish foundational services such as authentication, user management, and data governance

  • Build the system with security and future compliance (ISO/SOC2) in mind

AI & Automation

  • Integrate third-party AI models and services via robust APIs

  • Design structured interfaces that allow LLMs to access live data and execute actions

  • Implement or evolve Retrieval-Augmented Generation (RAG) patterns where appropriate

  • Build with an AI-first mindset, using modern coding assistants to accelerate development

Infrastructure & Operations

  • Set up a pragmatic, cloud-native infrastructure using managed services

  • Define containerisation and CI/CD pipelines

  • Implement monitoring, logging, and alerting

  • Coordinate external specialists for infrastructure hardening or compliance certification when needed

What We’re Looking For Experience & Mindset

  • 8 years of hands-on software engineering experience

  • Proven ownership of production systems in a startup or scale-up environment

  • Comfortable being the technical decision-maker and first builder

  • Strong communication skills and a collaborative, low-ego approach

Technical Background

  • Deep experience with at least one modern backend stack (e.g. Python, TypeScript/NestJS, Java)

  • Solid cloud experience (AWS, GCP, or Azure)

  • Strong data engineering fundamentals (SQL NoSQL)

  • Experience designing or operating data-heavy platforms

  • Familiarity with AI integration patterns (e.g. RAG, LLM tool/function calling)

  • Working knowledge of Docker and containerised environments

Experience with vector databases, AI agent frameworks, or compliance processes is a plus, but not a requirement.

Why Join
  • First engineering hire with real influence on product and architecture

  • Founders with deep B2B and startup experience

  • High ownership, low bureaucracy, and real technical autonomy

  • Collaborative, Berlin-based culture with regular in-person work

We value diverse perspectives and encourage applications from people who may not match every requirement but bring strong ownership, curiosity, and a builder’s mindset.

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Thomas Dobbie

Thomas Dobbie

Specialisms: Software, Software Engineering & Architecture, Business Analysis, Project & Programme Management
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