Large Language Model Experts in Frankfurt
matched in minutes from over 15,000 CVsHire experts who design LLM applications, connect foundation models to business data and build reliable retrieval-augmented generation workflows. Find vetted, available freelancers with the precise experience your project needs, matched quickly through FRATCH.
Meet FRATCH Experts in Frankfurt, who have recently used Large Language Model
Ornel Franck W.
Last position:
Sales Partner at ERGO PRO
- Industry: Insurance, Trade, IT
- Customers & Projects: Consulting and selling insurance and similar services
- Main tasks: Insurance consulting (health insurance, retirement planning, wealth building); commercial services, inside and field sales; sales data analysis and forecasting; customer consulting and support; opening a new sales headquarters for private and business customers; business development & innovation management; business use case development; process optimization; stakeholder management; team leadership and training; preparation and delivery of trainings;
- Technologies used: Microsoft Office 365, Microsoft Teams, Jira, Draw.IO, Camunda 8, Java (8, 17,21,25), Git, Spring Boot, Spring Batch, Spring Data REST, Spring Web, Spring Security, J-Unit, Playwright, Lombock, Vaadin, H2, PostgreSQL (16, 17 18), pgAdmin, Docker, LLMs, JasperSoft Studio, JasperReports
Patrick L.
Last position:
Senior GenAI Fullstack Developer at SBH (Schulbau Hamburg)
Remote freelance role focused on Agentic AI strategy, secure application patterns, and reusable agentic workflows for a government agency.
- Development and implementation of an open source Agentic AI strategy for a government agency, with a focus on GDPR, security, and self hosted solutions
- Development of reusable agentic workflows and mini applications that enable non technical employees to solve business problems independently
- Implementation of internal business applications with Single Sign On (SSO) and Azure PostgreSQL integration on Hetzner Linux servers
- Implementation of nine mini applications with Single Sign On (SSO) and Azure PostgreSQL integration on Hetzner Linux servers
- Techstack: Python, Nextjs, Typescript, Streamlit, Anthropic SDK (Claude), Azure, Linux Ubuntu, PostgreSQL, MS SQL, Angular, Authentik
Ali A.
Last position:
Founder & Architect at Independent AI R&D
- Fully on-premises LLM document-examination platform for a compliance-critical banking domain: agentic LangGraph pipeline with deterministic verification, every AI judgment structured and source-anchored; ~960 automated tests, zero data egress
- GPU throughput engineering (quantized serving, speculative decoding, prefix caching): 9.5x extraction speed-up, 500+ multi-document case files per day on a single A100
- AI-native EDI/EDIFACT integration platform (~116k LOC Java 25 / Spring Boot 4, 1,900+ tests): LLM-drafted partner mappings machine-verified before go-live (DFDL conformance, field-coverage checks, dry runs), ~99.5% byte match on real customer files — replacing weeks of manual mapping per partner
Saqib J.
Last position:
AI Developer / AI Engineer (Lead) at KOM4TEC GmbH
- Conceptual design and implementation of modular AI assistants for sales and business processes in the Microsoft ecosystem (Agentic AI, Copilot extensions)
- Frontend architecture and development with React + TypeScript for embedded chat and assistant surfaces (streaming UI, hooks, React Query, OpenAPI clients)
- Enterprise-level agent development: reusable skill/agent library, MCP server, review and compliance gates
- LLM integration into the user experience: Anthropic (Claude), OpenAI, tool use, RAG pipelines, prompt engineering, guardrails
- Architecture and code review consulting as well as mentoring in the AI development team
- Integration with Microsoft Graph, Power Platform, and Azure services
- Technologies: React, TypeScript, Anthropic Claude, OpenAI, MCP, RAG, Microsoft Graph, Power Platform, Azure
Prasad T.
Last position:
Solution Architect / Senior Manager – DTC E-Commerce Platform at BRITA
- Led discovery phase and POC for Shopware to Shopify Plus migration across EMEA markets, evaluating platform suitability, technical architecture, and multi-brand/multi-country capabilities against business requirements.
- Designed reference architecture for Shopify Plus implementation incorporating headless front-end patterns (Vue.js, Nuxt.js), CMS integration (Magnolia), and Azure middleware (APIM, Functions, Logic Apps, Service Bus) for 11 EMEA markets.
- Defined migration strategy analyzing data mapping, cutover approach, and zero-downtime deployment patterns using Varnish caching, GitOps pipelines, and CI/CD orchestration across six vendor teams.
- Architected multi-tenant Shopify Plus governance model with centralized admin, localized storefront customization, and compliance controls (GDPR, data residency).
- Prototyped AI-driven search optimization (LLM.txt, JSON-LD) for product discoverability in Google AI results, demonstrating post-launch performance opportunities.
- Defined EMEA expansion roadmap for 15+ markets through C-level strategic workshops, identifying phased rollout, market-specific configurations, and resource requirements.
- Tech Stack: React, Nuxt.js, Vue.js, Magnolia CMS, Shopware, Shopify Plus, Azure (APIM, Functions, Logic Apps, Service Bus, Front Door), Varnish, SAP, MS Dynamics, Docker, Kubernetes, GitHub Actions, PostgreSQL, Kafka
Anthony M.
Last position:
Research and Development, AI for Enterprise at Mwanachama
- Built an MCP (Model Context Protocol) layer for Mwanachama's agency service, turning domain manager methods into callable AI-agent tools. This included a composite tool that builds a full organization design (org chart, goals, workflows, RACI matrix) from one specification.
- Built the chat-driven agency builder (Wakala Studio and API), where an organization describes its structure in natural language and an AI agent uses those tools to construct and modify the live design.
- Added an insights service so an organization can review AI-agent interactions and completed work. Insights from that review feed back into solution design, gated by architect and user sign-off.
- Alongside this, designed and built the platform itself: ~20 Go microservices on PostgreSQL, Flutter and React clients, deployed on Kubernetes.
- AI agents scan the platform autonomously for security gaps and run scripted tests, covering API (Postman-style) and UI testing. The rest of the work stays supervised. No rogue agents, promise.
Jan S.
Last position:
Bootcamp Coach at neuefische GmbH
- Bootcamp Coach: "Digital Sales with AI" for neuefische GmbH
- Creation of curriculum and content for career changers seeking to start a career in digital sales
- Teaching of methods and tactics for an exhaustive tech stack:
- AI Agents Zapier and make.com
- AI Tools Midjourney, heygen, Text-Text LLMs (ChatGPT, Claude, Gemini etc.)
- Sales Software Stack: Fireflies, HubSpot, WIX, Talkwalker
Gregor S.
Last position:
Lead Project Manager at Varisano Kliniken
Lead project manager for live seminars and hybrid implementation. Creation of the run-of-show, definition of all on-site designs in line with corporate identity, and optimization of the digital setup. On-site show direction.
Noel L.
Last position:
Founder & Lead Engineer at ausbildung-in-der-it.de
- Platform established and running stably; deliberately reducing my involvement to refocus on an engineering mandate in the financial sector.
- Built an own SaaS learning platform from the ground up and scaled it to over 20,000 users (over 6,000 courses sold, B2C and B2B); end-to-end ownership from development through infrastructure to operations.
- Built a lab environment that provisions an isolated Linux container per user (Docker, Traefik, Go), including automatic provisioning and a dedicated subdomain per user.
- Integrated LLM features into the product and accelerated development end-to-end with AI-assisted workflows (Claude Code, Codex); CI/CD with automated tests.
Nils G.
Last position:
Sales Trainer at Self-employed
- Teaching sales techniques, automations, and body practices to increase acquisition, conversion rates, and objection handling.
- Created a 5-step transformation for freelancers based on 20+ feedbacks and 3 1-on-1 coachings.
- Developed, tested, and iterated a sales training system with AI.
Mobin R.
Last position:
Senior Consultant and Chief Product Owner at Luxota Travel Tech
- Coached teams in Agile methodologies and Scrum framework implementation.
- Aligned the product roadmap with business goals such as increasing bookings, improving user experience, and expanding supplier integrations.
- Collaborated with developers and third-party providers to ensure smooth API integration and end-to-end functionality.
- Created and continuously refined the product backlog with user stories, bugs, and technical improvements.
- Prioritized backlog items based on business value, revenue impact, and regulatory deadlines.
- Worked closely with backend and frontend teams to clarify dependencies and prioritize technical debt.
Helmut B.
Last position:
Service Provider for Writers and Self-Publishers at Selfpublisher-Verband
- Offered proofreading services and creation of supplementary texts
- Provided book design and typesetting
- Coached authors in conducting readings and presentations
- Developed e-learning offerings
- Managed the blog “FragDenWortSupport”
Minh D.
Last position:
Project Manager / Business Analyst / Application Manager at Finance and Insurance
Introducing 5 different process applications for various teams
Release planning: scope and time management
Resource/capacity planning
Conducting sprint planning / retrospectives
Increment planning (multiple sprints)
Preparing steering committee meetings / reporting to the executive board
Coordinating / aligning with external suppliers / deliveries
Multi-project resource planning
Aligning with the business unit and development team
Identifying best practices with IBM BAW
Cost control and planning for the project team and external service providers
Collecting KPIs using LogScale
Analyzing application errors with LogScale / queries
Defining user stories / aligning requirements with the business unit and development team
Testing and defect tracking
UI/UX design of the application
Preparing and facilitating brown-paper workshop
Test concept, test data, test organization, test execution
Recording team velocity / metrics
Executing tests
Scripts for automated testing
Organizing tests with the business unit and IT
Recording and prioritizing defects
Setting up and operating the application
Setting up application monitoring with LogScale dashboards
Checking health endpoints with PowerShell
Post mortem analysis
Setting up incident management
Setting up problem management
Analyzing errors using LogScale queries and dashboard
Pre-processing data for AI
Conducting evaluation with AI language models (Meta Llama 3.3 LLM and deepset Haystack) and RAG
Installing runtime environments for LLMs (large language model)
Evaluating various LLMs
Installing RAG (retrieval augmented generation) and integrating with LLM
Extracting unstructured data with LLM and RAG
Project based on IBM BAW (Business Automation Workflow), WebSphere Liberty, Domea, d.3, REST, LogScale (formerly Humio), Swagger, PowerShell, JIRA, Confluence, Lucom Interaction Platform (LIP), Mattermost, Jabber
Markus K.
Last position:
Founder & Managing Director at Qrafto UG (haftungsbeschränkt)
- Founding and overall responsibility: Built a B2B SaaS platform for craft and construction businesses from the first line of code to the live launch with the first paying customer; solo founding including full establishment of the company and all business processes.
- Product and technology responsibility: Designed and developed the entire product.
- Infrastructure & DevOps: Managed a Kubernetes/Helm environment including CI/CD, monitoring, and security architecture; GDPR-compliant platform decisions and evaluation of EU-hosted LLM providers.
- Agentic coding as a productivity multiplier: Set up a productive multi-agent environment with Claude Code: up to eight parallel agents in isolated Git worktrees, Telegram-based remote control and monitoring, MCP integrations (e.g., Context7, Playwright for E2E tests), and a builder-critic pattern with custom slash commands (/research, /plan) and compressed project contexts. Result: development throughput on par with a small team while working solo.
- Go-to-market: Independently developed positioning, SEO and direct mail playbook, as well as target group analysis.
- Regulation & finance: Implemented e-invoicing requirements (ZUGFeRD/XRechnung), set up accounting and payment infrastructure, and managed funding and financing options.
Alona L.
Last position:
AI Architect
AI-powered platform for automated UX validation and designer support
- Designed and led technical implementation of an enterprise-wide AI solution for automated UX review that improved design quality and significantly reduced manual review processes in teams
- Developed an automated UX validation tool as a Figma plugin and web application that generates test cases based on internal guidelines and reliably checks current designs for consistency and standard compliance
- Implemented an interactive designer chat based on RAG that answers questions about the current design and the company's UX guidelines, and designed the deployment architecture using containerized services
- Python, Azure OpenAI, PostgreSQL, REST API, Docker, OpenShift, Helm, CI/CD, Figma MCP, LLM, RAG, Prompt Engineering, GenAI, XAI, AI Architecture, AI Strategy
Discover over 15,000 top freelancers
Statistics of experts using Large Language Model
Aggregated from the professional profiles of matched freelancers.
Experience
18 years (Germany: 15 years)
Position duration
3.8 years (Germany: 2.9 years)
Positions per freelancer
10
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Education
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
100% (Germany: 96%)
Master's degree or higher
57% (Germany: 70%)
Doctorate
22% (Germany: 14%)
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 97%)
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Frankfurt 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 Frankfurt using Large Language Model
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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Large Language Model experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (81%)
- Banking and Finance (56%)
- Education (41%)
- Healthcare (33%)
- Manufacturing (33%)
- Professional Services (33%)
- Media and Entertainment (30%)
- Government and Administration (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Large Language Models do
Large Language Models, often called LLMs, process and generate human language from patterns learned across large training datasets. Companies use them to build conversational assistants, document search, content workflows, summarisation tools and software interfaces that respond to natural-language requests. Their value depends on grounding, evaluation and safe integration into real business processes.
Applications and deliverables
LLM specialists turn a model into a useful product rather than a simple chat window. Typical deliverables include:
- Retrieval-augmented generation connected to company documents
- Customer-service assistants with controlled responses
- Prompt, tool-calling and workflow orchestration layers
- Classification, extraction and summarisation pipelines
- Evaluation suites for quality, safety and factuality
Ecosystem and tooling
The ecosystem spans commercial APIs and open-weight models, including GPT, Claude, Gemini, Llama and Mistral. Professionals work with Python or TypeScript, vector databases, embedding models, model gateways and orchestration frameworks such as LangChain or LlamaIndex. They also connect identity, observability, data pipelines and cloud services so applications remain secure and maintainable.
When companies need specialists
Freelance expertise is useful when a team must validate an AI product quickly, modernise a knowledge workflow or move from a prototype to a dependable service. A specialist can select a suitable model, prepare data, design prompts, build retrieval, manage context limits and establish human review. In Frankfurt, local teams may also value on-site workshops alongside remote implementation across product, data and compliance functions.
Skills that set experts apart
Strong professionals combine language-model knowledge with software delivery, data engineering and product judgement. They understand tokenisation, embeddings, fine-tuning, inference costs, latency and model failure modes without treating any single model as a complete solution. They document assumptions, protect sensitive data and test difficult cases before release.
Assessing project fit and quality
Look for evidence of shipped LLM systems, not only prompt experiments. Ask how the professional measures grounded answers, detects harmful or sensitive output, handles model changes and separates private data from training or inference flows. Clear architecture, reproducible evaluations and practical fallback paths matter as much as fluent responses. Remote collaboration works well when access, documentation and review routines are defined; language requirements should match the users and source material.
Frequently asked questions
Need clarity? These are the questions we hear most often about Large Language Model.
A Large Language Model can power assistants, document question-answering, content operations, classification, extraction and summarisation. It can also call business tools or support software workflows when connected to controlled data and permissions.
An LLM generates and interprets language, while traditional software follows explicitly defined rules and conventional search primarily retrieves matching records. LLM applications are useful for flexible interaction, but they need retrieval, validation and clear boundaries when accuracy is important.
A Large Language Model specialist should usually understand backend development, APIs, data preparation, cloud infrastructure and information security. Experience with embeddings, vector databases, prompt design, evaluation and retrieval-augmented generation is especially relevant.
A Large Language Model project does not require the same kind of expertise at every stage. A discovery prototype may need focused model and product knowledge, while production work calls for experience with data governance, monitoring, access control, testing and dependable deployment.
An LLM engagement can work remotely when the team provides secure access, clear documentation and regular technical reviews. Frankfurt companies may combine remote delivery with on-site workshops for domain discovery, stakeholder alignment or sensitive process mapping.
A Large Language Model project may compare GPT, Claude, Gemini, Llama or Mistral, as well as other hosted or open-weight options. The right choice depends on task quality, data handling, response speed, integration needs, operational control and total workflow complexity.
A strong LLM professional can explain model selection, data boundaries, evaluation design and failure handling in concrete terms. Ask to review relevant architecture decisions, test cases and monitoring practices rather than judging quality from polished demonstrations alone.
A Large Language Model freelancer should clarify the users, source data, required languages, security constraints, success criteria and existing systems. They should also establish who reviews outputs, which actions require approval and how the application will handle uncertainty or unavailable information.
The average hourly rate of freelancers in Frankfurt, Germany who have used Large Language Model in their recent projects is 97 €, which corresponds to a daily rate of about 777 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Large Language Model in their recent projects, 100% hold at least a Bachelor's degree, 57% hold at least a Master's degree, and 22% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Large Language Model in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 3.8 years.
The most common languages among freelancers in Frankfurt, Germany who have used Large Language Model in their recent projects are German (100%), English (100%), and French (22%).
The most common industries among freelancers in Frankfurt, Germany who have used Large Language Model in their recent projects are Information Technology (81%), Banking and Finance (56%), and Education (41%).
The most common business areas among freelancers in Frankfurt, Germany who have used Large Language Model in their recent projects are Information Technology (93%), Product Development (93%), and Project Management (59%).
Main locations of FRATCH Experts, who have recently used Large Language Model
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 
Cologne 
Stuttgart 
Dusseldorf 
Dortmund 
Essen 
Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
