AI Agents Experts in Cologne
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Meet FRATCH Experts in Cologne, who have recently used AI Agents
Marc Smyk
Last position:
Fullstack Developer at PLANT-MY-TREE
PLANT-MY-TREE®-per-order
The application enables Shopify merchants to automatically place tree-planting orders for every incoming order. By integrating ecological contributions directly into the purchase process, the manual effort for tracking and billing reforestation initiatives is eliminated. The system increases transparency for end customers through real-time visualizations of the ecological impact directly in the storefront. The architecture is based on a modular monolith with Spring Boot in the backend and an integrated React app inside the Shopify admin area. The solution uses webhooks to capture order data in an event-driven way and integrates the weclapp ERP system for automated monthly invoicing. An app proxy mechanism provides dynamic statistics such as CO2 compensation and planted trees without any performance loss for the merchant shop.
Tasks:
- Design of the modular software architecture based on Spring Modulith to ensure high maintainability
- Development of the event-driven business logic for evaluating Shopify orders via webhooks
- Implementation of automated invoicing by connecting the weclapp REST API
- Building the frontend using React Router and Shopify App Bridge for native integration
- Design of the database model and implementation of the persistence layer with JPA/Hibernate and Prisma
- Integration of internationalization processes for global use in the frontend and email communication
- Automation of deployment processes using Docker and GitLab CI/CD
Project skills: Java 25, Spring Boot, Spring Security, Spring Modulith, Hibernate, JPA, REST API, PostgreSQL, Maven, Liquibase, React, TypeScript, React Router, Vite, Node.js, Prisma, Zod, Docker, Docker Compose, GitLab CI/CD, Shopify CLI, Shopify App Bridge, Polaris, weclapp, i18next, Lombok, Vitest
Hamdi Rajab
Last position:
Full-Stack AI Developer at Karray-Pflege GmbH
PFS-Matching-App
- Integrated an intelligent LLM chatbot using LangChain4j, enabling conversational AI, context-aware question answering, document summarization, and autonomous tool execution.
- Implemented Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent workflows to connect large language models with enterprise data and backend services.
- Developed RESTful APIs and secure backend services to support AI-driven interactions and business processes
Beshr Alnirabieh
Last position:
System Administrator – HealthCare IT & Data Infrastructure at Cellitinnen Hospital Association
- Integration of medical modalities (including ultrasound) into the existing IT infrastructure (DICOM, HL7) – put into operation within the planned timeframe.
- Administration and optimization of PACS systems for efficient archiving and distribution of radiology image data across multiple locations.
- Ensuring consistent data quality and seamless interoperability in data exchange between HIS, RIS, and PACS.
- Close collaboration with medical staff to analyze and digitally optimize clinical workflows.
- Requirements management and test coordination when implementing clinical requirements in complex IT structures.
Rodion Orlinskiy
Last position:
Founder, CTO & Managing Director at MYNR Product Mining GmbH
- Responsible for the architecture and development of an AI-native SaaS platform for industrial product portfolio management.
- Designed the modern data platform architecture on Azure for scalable analytics and enterprise data integration.
- Built enterprise data ingestion and transformation pipelines across complex industrial system landscapes.
- Developed graph-based representations of product structures and dependencies for analytical reasoning.
- Designed and implemented an agentic AI framework for AI-supported decision workflows.
- Built scalable analytical microservices and integrated reporting through modern BI technologies.
- Coordinated backend, AI, and frontend development across the MYNR platform stack.
Sophia Wagner
Last position:
AI Engineer & Technical Consultant at Freelance
- Delivered ML pipelines for OCR, semantic search, and computer vision
- Integrated Azure AI Agents and GPT workflows for automation and QA
- Deployed cloud-based FastAPI services with scalable architecture
- Created integration docs and advised on LLM production readiness
Hans Reinl
Last position:
Engineering and Leadership Consultant at Self-employed
Leveraging 15+ years of high-scale platform architecture and engineering leadership to consult with companies, focusing on enhancing their engineering capabilities and accelerating adoption of the AI-native web.
- AI & Machine Learning: Hands-on architecture and implementation using Vercel AI SDK, Next.js, Supabase, and Serverless architectures to build production-ready AI applications.
- Reference Architecture: Designed and implemented a full-stack, conversational coach (N+One AI Coach) based on Next.js and Vercel Edge Network for personalized training, demonstrating expertise in performant serverless applications and AI-powered experiences.
- Agentic Systems & Data Processing: Developed agentic-led, low-code crawling and indexing processes for fiber internet network information, showcasing proficiency in automation, LLM integration, and data structuring.
Sabrine Krichen
Last position:
Team Lead at InstaDeep
- Led a team of junior Research Engineers, providing mentorship, technical guidance, and career development support to foster their growth in deep learning and machine learning engineering.
Andre Cramer
Last position:
Co-Founder & Co-Lead Human-Centered Technology Community at Deutsche Telekom
- Building a company-wide grassroots movement with over 500 employees around digital responsibility topics, tech ethics, and a human-centered focus
- Connecting top-down initiatives from innovation, corporate responsibility, and compliance with engaged employees
- Organizing flagship events like barcamps, dialogue formats, workshops, and discussion series
- Promoting ethical reflection, diversity, and societal perspectives in innovation and decision-making processes
Giovanni Spinelli Barrile
Last position:
Technical Product Manager at Logicc GmbH
Acted as the primary bridge between Legal, Engineering, and Business units to ensure zero compliance violations while maintaining product velocity.
Led the development of a GDPR-compliant AI aggregator platform, managing a roadmap that balances legal constraints with aggressive feature delivery.
Scaled the engineering team from 4 to 9 developers, establishing hiring protocols and technical onboarding processes to support rapid product iteration.
Boosted the development process by introducing structured sprint cycles and backlog refinement, resulting in a 20% reduction in feature delivery time.
Architected and prototyped agentic AI workflows with n8n and RAG pipelines on Langchain.
Discover over 15,000 top freelancers
Statistics of experts using AI Agents
Aggregated from the professional profiles of matched freelancers.
Experience
9 years (Germany: 15 years)
Position duration
2.4 years (Germany: 2.9 years)
Positions per freelancer
6 (Germany: 10)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Professional Services, Education
Bachelor's degree or higher
100% (Germany: 97%)
Master's degree or higher
57% (Germany: 72%)
Certifications per freelancer
1 (Germany: 3)
Most common languages
German, English, Arabic
Speak two or more languages
100% (Germany: 96%)
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Cologne are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Cologne using AI Agents
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What they do
AI agents are systems that can plan steps, use tools, and act on tasks with limited human input. Companies bring in specialists to build agent flows for support, research, operations, and internal copilots. The work often sits under terms like agentic AI or autonomous agents.
Typical work
- Design prompts, tools, and handoff rules
- Connect agents to APIs, search, and databases
- Set memory, guardrails, and approval steps
- Test failure paths and recovery behavior
- Tune output quality for real workflows
Ecosystem
Strong professionals work across OpenAI, Anthropic, LangChain, LlamaIndex, Semantic Kernel, and vector databases. They also know function calling, retrieval, evaluation, and observability. Good choices depend on latency, safety, and how much control the team needs over each step.
When to hire
Bring in freelance expertise when a team has a clear use case but needs help turning it into a reliable system. Common signs are brittle prompts, too much manual review, unclear tool use, or agents that fail outside demos. In Cologne, this often matters for teams in media, retail, logistics, and enterprise IT.
What strong specialists do
They make agent behavior understandable, testable, and safe. That means clear task boundaries, good system prompts, tool schemas, retries, logging, and fallback paths. They also know when a plain workflow is better than an agent and can say so early.
Team setup
AI agents usually need close work with product, data, and security teams. Remote collaboration works well for design, implementation, and review, while on-site time can help with stakeholder alignment in Cologne. The best experts document assumptions, edge cases, and operating rules so the system can be maintained after launch.
Frequently asked questions
Not sure where to start with AI Agents? These answers cover the essentials.
AI agents are used when a system needs to decide next steps, call tools, and complete a task instead of only returning text. Companies use them for support triage, document handling, research assistance, internal operations, and guided workflows. The best fit is a process with clear inputs, clear outputs, and defined rules.
A AI agents setup goes beyond a chatbot because it can plan, call functions, and keep working across steps. A simple prompt is fine for one-off text generation, but agents are better when the task needs tool use, retrieval, or follow-up actions. If the workflow is short and predictable, a simpler design is often safer.
A strong AI agents specialist usually knows prompt design, API integration, retrieval, and evaluation. Skills in Python, JavaScript, orchestration frameworks, and vector search are common, along with basic security and data handling. They should also be able to debug tool calls and explain trade-offs in plain words.
For AI agents, you do not need a full implementation plan, but you do need a clear use case and a few real examples. The freelancer should understand the task, the data sources, the tools involved, and where human approval is required. If those points are vague, discovery work should come first.
Most AI agents work can be done remotely because the core tasks are design, coding, testing, and review. On-site sessions in Cologne can help when teams need workshop time, access to internal stakeholders, or tighter alignment on process and risk. Many projects use a mix of both.
Look for someone who can show working systems, not just prompts. A strong AI agents professional explains tool choices, error handling, guardrails, and how they tested edge cases. Good signs are clear documentation, realistic expectations, and the ability to say when an agent is not the right solution.
In practice, AI agents and agentic AI are often used to mean the same family of systems. Some teams use agentic AI for the broader concept and AI agents for the concrete implementation. A good freelancer should understand both terms and be able to work with either framing.
Ask how the system will choose actions, what it can and cannot do, and where a human must approve results. For AI agents, you should also ask how tools are validated, how failures are logged, and how the setup will be measured in real use. Those answers reveal whether the design is practical or just impressive in a demo.
The average hourly rate of freelancers in Cologne, Germany who have used AI Agents in their recent projects is 99 €, which corresponds to a daily rate of about 794 € based on an 8-hour working day.
Of the freelancers in Cologne, Germany who have used AI Agents in their recent projects, 100% hold at least a Bachelor's degree and 57% hold at least a Master's degree.
On average, freelancers in Cologne, Germany who have used AI Agents in their recent projects have 9 years of professional experience, with a single engagement typically lasting around 2.4 years.
The most common languages among freelancers in Cologne, Germany who have used AI Agents in their recent projects are German (100%), English (100%), and Arabic (33%).
The most common industries among freelancers in Cologne, Germany who have used AI Agents in their recent projects are Information Technology (100%), Professional Services (44%), and Education (33%).
The most common business areas among freelancers in Cologne, Germany who have used AI Agents in their recent projects are Information Technology (100%), Product Development (89%), and Business Intelligence (56%).
Main locations of FRATCH Experts, who have recently used AI Agents
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin 
Hamburg 
Munich 
Frankfurt 
Stuttgart 
Dusseldorf 
Essen Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
