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Mayflower GmbH Tech Stack

AI engineering partner building production-grade LLM applications and agentic systems

IT Services and IT Consulting München, Bayern 51–200 employees Privately Held

Mayflower is a Munich-based software engineering firm positioning itself around LLM and agentic AI delivery rather than point features. The tech stack—anchored in Python, OpenAI, Claude, Gemini, and LangChain, with active adoption of LangGraph and AutoGen—reflects a shift toward multi-agent orchestration and structured AI pipelines. Project list (LLM-based client software, RAG pipelines, agentic fleets) and pain points (expanding generative AI business, automating routine work) signal they're scaling internal AI delivery capacity while hunting for repeatable customer use cases.

Tech Stack 28 technologies

Core StackPython OpenAI Hugging Face Langchain TensorFlow PyTorch Kotlin Spring TypeScript React Kubernetes Helm Terraform AWS LangChain RAG Cursor Gemini Claude LLaMA Mistral transformers Azure AutoGen GPT Transformers MLOps

AdoptingLangChain LangGraph AutoGen

What Mayflower GmbH Is Building

◆Challenges

Expanding generative ai business
Automating routine work
Identifying relevant customer problems
Modernizing software
Reducing manual administrative tasks

▲Active Projects

Llm-based client software development
Ai application integration
Structured onboarding plan
Automation and self-service
Generative ai- und rag-pipelines
Llm-based use cases

Hiring Activity

Decelerating15 roles · 3 in 30d

Department

Engineering

10

HR

2

Seniority

Senior

9

Mid

3

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About Mayflower GmbH

Mayflower builds production software and AI systems for mid-market clients across Germany. The firm combines consulting, training, and hands-on engineering services—positioning itself as a digital transformation partner. Core competencies span agile software development, DevOps, cloud infrastructure (AWS, Azure, Kubernetes), and increasingly generative AI and agentic automation. The senior-weighted engineering org (9 senior, 3 mid-level hires) suggests they compete on expertise depth rather than scale. Current focus areas include LLM-based use-case development, RAG pipelines, real-time voice AI, and data architecture modernization for client transformation projects.

HeadquartersMünchen, Bayern

Company Size51–200 employees

Hiring MarketsGermany

Frequently Asked Questions

What AI models and frameworks does Mayflower use?

Python-based stack: OpenAI, Claude, Gemini, LLaMA, Mistral, Hugging Face. Frameworks include LangChain, AutoGen, LangGraph, transformers, TensorFlow, PyTorch, and RAG patterns. Currently adopting LangGraph and AutoGen for multi-agent orchestration.

What is Mayflower working on?

LLM-based client software development, generative AI and RAG pipelines, agentic system integration, real-time voice AI, and process automation. Also running structured onboarding and building internal self-service capabilities.