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About the Role

You will build a complete AI product, CERA AI, an AI agent that automates logistics processes from email capture to order submission. You will be responsible for the technical development and scaling of an AI product that automates real business processes.

Responsibilities

Take ownership of central parts of our AI architecture
Design and develop scalable AI agent systems (Multi-Step Reasoning, Decision Pipelines, Tool Use)
Be responsible for the reliability and quality of AI outputs (Evaluation, Monitoring, Guardrails)
Further develop our LLM systems (Prompting, Fine-Tuning, Tooling, Orchestration)
Build observability and evaluation frameworks (e.g., regression tests for AI)
Work closely with Business & Product to deliver real impact on processes and revenue
Make technical decisions with long-term impact (architecture, stack, scaling)

Requirements

6-8+ years of experience in Software Engineering (ideally in AI/LLM environment)
Think in systems, not in features
Very strong Python skills (Django or comparable)
Experience with LLM APIs (OpenAI, Claude etc.)
Experience with AI system design (not just usage)
Experience with evaluation methods & observability
Understand how to make AI reliable and how to decide trade-offs between speed and quality
Work extremely independently and require little guidance
Someone who ships things – doesn't just discuss them

Skills

Python
Django
LLM APIs
AI System Design
Evaluation Methods
Observability
Multi-Step Reasoning
Decision Pipelines
Tool Use
Prompting
Fine-Tuning
Tooling
Memory
Orchestration

Location

Germany

Work Type

Flexible working hours
Home office
Workation

Experience Level

6-8+ years

Benefits

Flexible working hours
Home office options
Workation possibilities
Regular team events
Mental health support and workshops
Career development opportunities
Support with parental leave applications
Corporate Benefit Program with discounts
Free Urban Sports Club membership

About the Company

Cito is a technology company developing CERA AI, an AI agent that automates operational processes in logistics, replacing manual dispatching with intelligent, data-based decisions for increased efficiency, speed, and scalability.