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freshcells systems engineering GmbH Tech Stack

Systems engineering and AI-integrated software for digital transformation

IT Services and IT Consulting Düsseldorf 51–200 employees Founded 2005 Public Company

Freshcells is a German systems engineering firm building AI-native applications and MLOps infrastructure. The tech stack—Python, LangChain, LlamaIndex, Kubernetes, GCP, Terraform, Argo CD—reveals a company investing heavily in retrieval-augmented generation (RAG) and machine learning pipelines. Active projects around chatbot development, knowledge bases, and MLOps integration signal a pivot toward embedding generative AI into client solutions. Engineering-heavy hiring (all 12 roles open) with mid-to-senior skew suggests scaling delivery capacity rather than leadership gaps.

Tech Stack 40 technologies

Core StackPython LangChain Jira Kubernetes Docker Helm Terraform Redis Jenkins GraphQL RAG Node.js TypeScript React Vue Angular OpenShift Next.js PHP LlamaIndex GCP Flux Argo CD Argo Workflows Metaflow Vagrant REST SOAP Git Docker Swarm+9 more

What freshcells systems engineering GmbH Is Building

◆Challenges

Integrating ai into products and workflows
On-prem and cloud deployments
Security and cost controls
High-traffic web application reliability
Kubernetes upgrade maintenance

▲Active Projects

Implement devops and mlops best practices
Chatbot page builder
Chatbot development
Rag-based knowledge base ai
Document search system
Automation and scalability for high-traffic web apps
Machine learning pipeline development

Hiring Activity

Steady15 roles · 6 in 30d

Department

Engineering

12

Seniority

Mid

7

Senior

4

Manager

1

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About freshcells systems engineering GmbH

Freshcells systems engineering GmbH, founded in 2005 and headquartered in Düsseldorf, is a software consultancy specializing in complex, cross-platform systems for enterprise digital transformation. The firm serves mid-market and large organizations requiring custom software architecture, platform strategy, and systems integration. A multicultural team of 51–200 delivers end-to-end services spanning application development, cloud infrastructure (Kubernetes, GCP, OpenShift), AI/ML pipelines, and DevOps automation. The current project mix—RAG-based knowledge bases, chatbot platforms, high-traffic web application scaling—reflects a shift toward generative AI and MLOps delivery.

HeadquartersDüsseldorf

Company Size51–200 employees

Founded2005

Hiring MarketsGermany

Frequently Asked Questions

What tech stack does Freshcells use?

Python, LangChain, LlamaIndex, Kubernetes, Docker, GCP, Terraform, Argo CD, Argo Workflows, Metaflow, React, Node.js, and GraphQL. Focus on cloud-native and AI/ML tooling.

What is Freshcells working on?

RAG-based AI knowledge bases, chatbot page builders, MLOps pipelines, document search systems, and scaling automation for high-traffic web applications.