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About the Role

This key position serves as the crucial link between strategic consulting and technological implementation. As one of the first dedicated engineering hires, you will significantly shape the development of our technical implementation capabilities and lay the technical foundation for client projects and product development, with the clear perspective of building and strategically leading an engineering team as the company grows. Given our young company status, there is no rigid silo thinking; your role thrives on a dynamic division that evolves with us.

Responsibilities

Design scalable end-to-end architectures for AI applications (e.g., RAG pipelines, multi-agent systems) and plan their integration into existing IT landscapes.
Conceive and build functional prototypes (PoCs) to quickly demonstrate complex use cases and convince client committees.
Design the technical concept and logical structure of proprietary software tools for Good Work.
Independently evaluate tech stacks (e.g., commercial APIs vs. self-hosted Open Source, EU-hosting vs. hyperscalers) and explain trade-offs to decision-makers.
Lead technical aspects in projects, translate functional requirements into blueprints, and manage communication with clients' internal IT departments.
Develop concepts for testing, monitoring, and guardrails, anchoring them according to the Compliance by Design principle (EU AI Act, data protection) in collaboration with ethics and legal experts.
Support the founding team in pitches, translate client wishes into feasible tech concepts, and define the scope of our technological capabilities.
Oversee technical capabilities, make informed decisions on when to develop solutions in-house, when to procure external services or tools, and when a permanent internal team expansion is strategically necessary.
Act as a technical sparring partner for the founding team and, with advancing company growth, help shape the hiring and structure of the future engineering team.

Requirements

Minimum 5 years of experience in software engineering, system architecture, or data/ML engineering.
Proven practical experience with productive GenAI systems.
Demonstrable practical experience with the productive use of GenAI (LLMs, RAG architectures, agentic patterns) in recent years.
Proficient in Python.
Proficient in modern frameworks such as LangChain, LlamaIndex, LangGraph, and MCP.
Ability to design architectures and build functional prototypes.
Familiarity with cloud infrastructures (AWS, Azure, GCP).
Familiarity with on-premise setups.
Conscious stance on digital sovereignty.
Experience in client work or close customer collaboration.
Ability to translate complex deep-tech topics for C-level, departments, and committees.
Negotiation-fluent in German.
Negotiation-fluent in English.
Strategic thinking beyond pure code.
Ability to assess feasibility and resources.
Desire to take on leadership of a growing engineering team.
Strong intrinsic motivation for the guiding principle "Good AI. Good Work.", digital sovereignty, fair distribution of productivity gains, and co-determination.
Experience in regulated or sensitive contexts (nice to have).
Deeper MLOps experience (nice to have).
Experience in pre-sales / solution strategy for pitches (nice to have).
Open-source contributions or relevant publications (nice to have).

Skills

Software Engineering
System Architecture
Data Engineering
ML Engineering
GenAI Systems
LLMs
RAG Architectures
Agentic Patterns
Python
LangChain
LlamaIndex
LangGraph
MCP
Cloud Infrastructures
AWS
Azure
GCP
On-Premise Setups
Consulting
Communication
Strategic Thinking
Prototyping
LLMOps
Governance
Sales Enablement
Scoping
Tech Leadership
German
English

Location

Remote-first
Berlin

Work Type

Full-time
Remote-first
Temporary (initially one year, with goal for permanent employment)

Experience Level

Minimum 5 years in software engineering, system architecture, or data/ML engineering

Salary/Compensations

90.000 to 110.000 € gross per annum (based on 40h week, depending on experience)

Benefits

Real impact and values: A work environment combining technological innovation with social responsibility and sustainable values.
Shape AI transformation at the forefront according to European, democratic values.
Visibility and network: Mandates with top stakeholders from politics, business, and trade unions, high personal visibility.
High autonomy: Flat structures, conscious absence of micromanagement, and real responsibility for accounts and topics.
Flexible setup: Remote-first with a core team in Berlin, flexible working hours.
30 days of vacation.
Dedicated training budget.
Modern work equipment.
Fair compensation: Transparent salary band.
Long-term perspective: Initial one-year contract with a clear goal for long-term collaboration and permanent employment.

About the Company

Team Passerelle is an AI consultancy founded in 2025 in Berlin, originating from a trade union environment.
The name "Passerelle" means bridge, reflecting the mission to build a bridge to the future of work amidst major transformations.
Aims to enable genuine technological progress while creating better working conditions.
Operates under the motto: "Gute KI. Gute Arbeit." (Good AI. Good Work.).
Founded by experienced professionals from the tech and consulting world, as well as applied AI science.
Combines strategic C-level vision with deep technological expertise.
Supports organizations and institutions in their AI-driven future, from strategic consulting to value-oriented technical implementation and sustainable adoption.
Develops proprietary software products for digital sovereignty.
The core work is the social partnership-based shaping of AI transformation, focusing on fair distribution of productivity gains, digital sovereignty, and building a just working world of tomorrow.

Equal Opportunity

We encourage applications even if your CV does not perfectly match the description; your perspective and intrinsic motivation are valued more than a complete profile.