OpenAI Codex Experts in Munich
matched in minutes by AI from over 15,000 CVsHire experts who turn OpenAI Codex into reliable software workflows, code generation, test automation and repository changes. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your technical needs.
Meet FRATCH Experts in Munich, who have recently used OpenAI Codex
Michael N.
Last position:
Senior AI Engineer | Forward Deployed Engineer at Tiefbau
- Development of an AI-powered project organization tool for a civil engineering company that intelligently links project, task, tender, schedule, and document data through a knowledge graph.
- Implementation of AI features for document analysis, information extraction, context-based assistance, and voice-based data capture based on Microsoft Azure AI, reducing administrative effort, making information available faster, and supporting project teams in decision-making.
- Tech stack: Python, React, TypeScript, FastAPI, Claude Code, Codex, Graphify, PostgreSQL, Microsoft Azure AI Foundry, Azure OpenAI, Azure AI Speech, Azure AI Document Intelligence, Microsoft Graph, Microsoft Entra ID, Docker, Git, CI/CD.
Ines L.
Last position:
UX designer for AI products at freelance
- Designing AI-first workflows that integrate AI into existing product experiences
- Developing UX concepts for prompt management, reusable and combined prompt workflows, tagging, search and information organisation
- Creating user flows, wireframes, prototypes and high-fidelity interfaces in Figma
- Defining reusable UI patterns, components and interaction logic for scalable products
- Exploring human-AI interaction patterns with emphasis on user control, transparency and manageable cognitive load
- Translating product requirements and technical constraints into developer-ready UX/UI specifications
Anton L.
Last position:
Senior Solution Architect
Internal systems with regulatory and security requirements could not be used directly by AI tools for incident triage, troubleshooting, and documentation search. The goal was to securely integrate these systems through MCP while preserving existing acce...
Umut T.
Last position:
App Engineer at Tonies SE
Worked as an App Engineer as part of the IoT Control team in a React Native Stack.
- Implementing new Components based on the Tonies Design System.
- Improving, extending and maintaining Tonies Design System
- Adding new features like Volume and Playback Control of the Tonies
- Fixed connection issues via bluetooth and wifi
- Removing technical debt and polishing for an upcoming big software and hardware release
- Improving accessibility by optimizing screens and components for usage via screen readers.
- Wrote lots of automated tests to ensure app quality is always stellar.
- Weekly app releases in a high volume workload environment
Results & Impact:
- Improved app stability and connection reliability ahead of a major software and hardware release
- Raised overall app quality through a significantly broader automated test suite, catching regressions before they reached users
- Made the app usable with screen readers, improving accessibility for a wider audience
- Sustained a weekly release rhythm in a high-volume production environment without quality regressions
Technologies: react-native, expo, typescript, react-19, react-compiler, react-navigation, zustand, @tanstack/react-query, i18next, figma, app-store, play-store, sentry, bitrise, config-cat, poeditor
Zakaria M.
Last position:
Instrument Scientist at Forschungszentrum Jülich GmbH
- Designing and conducting Small-Angle Neutron Scattering (SANS) experiments as an integral part of nanomaterial analysis.
- Conducting training sessions, providing support, and offering advice to users on sample preparation and data analysis to ensure they utilize the instruments to their maximum potential.
- Supporting the enhancement of neutron scattering instruments to explore and characterize magnetic phenomena in novel composite materials.
- Collaborating with an interdisciplinary team to evaluate and interpret experimental results, comprehend the scientific value of measurements, and engage in discussions to draw meaningful conclusions.
Max R.
Last position:
Senior AI Engineer and Technical Advisor (Freelancer) at dialpad
Serving as AI technical advisor to Dialpad's Telephony Engineering division while building AI products hands-on. Currently developing MCP-based tooling for AI text and voice agents: agent authoring, integrations and adoption of existing agents, shared authentication and API contracts, and durable workflow state. This includes text and voice tests that evaluate agent behavior, latency and task completion.
In parallel, helping Dialpad's engineers adopt QualityLayer and use Claude Code and Codex effectively. This ongoing work covers context management for large codebases, reusable plan-implement-test-review workflows connected to CI/CD, playbooks, hands-on workshops, labs and pair programming.
Technologies: AI Agent Products (Text & Voice Agents, MCP, LLMs, Python, TypeScript), Agent Tooling (Authoring, Integrations, OAuth, Durable State), Quality & Evaluation (Text & Voice Tests, Evals, Regression, Traces), Agentic Engineering (Claude Code, Codex, QualityLayer, Hooks, Prompts), Context Engineering (RAG, Vector Stores, Codebase Embeddings), Software Delivery (CI/CD Integration, Agentic Loops, PR Automation), Enablement & Coaching (Workshops, Hands-On Labs, Pair Programming)
Alexander S.
Last position:
Founder and Full-Stack Developer at TrumpPostAlert.com
- Feasibility study for the rapid implementation of requirements using AI-based development (Vibe-Coding)
- Development of a single-page web app in Angular 20
- Development of a backend server application in Kotlin
- Integration of the Google Cloud Platform (Firebase): Authentication, Firestore NoSQL database, Storage, Cloud Functions, Hosting and Cloud Run
- Integration of a NEON PostgreSQL database
- Automated, AI-based evaluation of Donald Trump's posts on Truth Social and analysis of their relevance to stock markets and geopolitical topics
- CI/CD via GitHub Actions using Docker and Google Cloud Run
- Technical environment: Angular 20 (Angular Material, RxJS), Kotlin 2.2.20, TypeScript 5.9.3, Spring Boot 3.5.6, Google Cloud Platform (Firebase, Cloud Run, Gemini, Vertex AI), ChatGPT Codex, Git, GitHub, SourceTree, IntelliJ WebStorm, IntelliJ IDEA
Discover over 15,000 top freelancers
Statistics of experts using OpenAI Codex
Aggregated from the professional profiles of matched freelancers.
Experience
11 years (Germany: 16 years)
Position duration
1.2 years (Germany: 1.7 years)
Positions per freelancer
11 (Germany: 14)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Insurance, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
100% (Germany: 94%)
Master's degree or higher
83% (Germany: 62%)
Doctorate
17% (Germany: 13%)
Certifications per freelancer
4 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 95%)
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Munich are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Munich using OpenAI Codex
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
OpenAI Codex 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 (86%)
- Insurance (57%)
- Banking and Finance (43%)
- Manufacturing (43%)
- Professional Services (43%)
- Government and Administration (43%)
- Education (29%)
- Fashion (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Codex does
OpenAI Codex is an AI coding system for working with software repositories, development tasks and technical documentation. It can interpret natural-language requests, inspect existing code, propose changes, generate new code and help verify results. Teams use it to accelerate delivery while keeping human review in the workflow.
Where it fits
Codex supports work across application code, scripts, APIs, tests and developer tooling. It is useful for both greenfield features and changes inside established codebases, provided the surrounding repository, instructions and acceptance criteria are clear. Its value depends on connecting model output to sound engineering practices.
- Generate and refactor application code
- Create tests, fixtures and technical documentation
- Investigate bugs and explain unfamiliar repositories
- Automate repeatable software maintenance
Ecosystem and tooling
Strong Codex work involves Git workflows, pull requests, issue trackers, command-line tools and secure repository access. Professionals may also work with OpenAI APIs, model configuration, evaluation sets, prompt files and automated checks. Familiarity with the project’s languages, frameworks, CI pipelines and deployment environment is essential.
When companies engage experts
Companies often bring in freelance expertise when a team needs to introduce Codex into an existing workflow, improve code-generation quality or prepare a repository for agent-assisted work. A specialist can define review rules, permission boundaries, testing gates and reusable instructions. Munich teams may also value on-site workshops alongside remote implementation when several stakeholders need alignment.
- Assess a repository for Codex readiness
- Design safe workflows for code changes and reviews
- Connect Codex with internal tools and automation
- Measure output quality through repeatable evaluations
What strong professionals deliver
The best professionals combine software craftsmanship with a clear understanding of model limitations. They break ambiguous requests into verifiable tasks, protect secrets and sensitive data, inspect generated changes and test edge cases. They also leave behind readable instructions, documented decisions and workflows that the internal team can maintain.
Choosing the right specialist
Look for evidence of shipped software, disciplined Git practices and experience reviewing AI-assisted changes rather than accepting output blindly. Ask how the professional handles failing tests, unclear requirements, dependency changes and security concerns. For collaboration in Munich, clarify whether the project needs German-language workshops, English documentation or a fully remote working model.
Frequently asked questions
Everything clients usually want to know about OpenAI Codex, in one place.
OpenAI Codex is used to generate, explain, refactor and test software within a repository or development workflow. It can support feature work, bug investigation, documentation, scripts and repetitive maintenance, with a professional reviewing the resulting changes.
OpenAI Codex can work across repository context and handle broader software tasks than simple line or function completion. The comparison should focus on repository access, task planning, tool use, review controls and the quality of validation required for the project.
A strong OpenAI Codex specialist usually understands Git, testing, CI pipelines, APIs, security and the languages used by the project. Experience with prompt design, evaluation methods, repository instructions and OpenAI API integration is also valuable.
The right level depends on the risk and scope of the work. A small automation task may need focused repository and testing knowledge, while production integration calls for a professional who can design permissions, review generated code, handle failures and guide the wider team.
Yes. OpenAI Codex can inspect an existing repository, follow project instructions and propose changes across related files when the environment is configured clearly. Access should be limited, sensitive information protected and every meaningful change checked through tests and human review.
OpenAI Codex projects can usually be delivered remotely through shared repositories, written requirements and review workflows. For companies in Munich, on-site discovery sessions can help with architecture and security decisions, while day-to-day implementation may remain remote; agree on English or German communication early.
Assess whether OpenAI Codex output is correct, secure, maintainable and consistent with the repository’s conventions. Review tests, pull requests, documentation and failure handling, and ask the professional to explain trade-offs rather than presenting generated code as proof of quality.
OpenAI Codex supports software professionals but does not remove the need for technical judgment. People still define goals, manage architecture, validate behavior, protect data and take responsibility for changes released into production.
The average hourly rate of freelancers in Munich, Germany who have used OpenAI Codex in their recent projects is 95 €, which corresponds to a daily rate of about 759 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used OpenAI Codex in their recent projects, 100% hold at least a Bachelor's degree, 83% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Munich, Germany who have used OpenAI Codex in their recent projects have 11 years of professional experience, with a single engagement typically lasting around 1.2 years.
The most common languages among freelancers in Munich, Germany who have used OpenAI Codex in their recent projects are German (100%), English (100%), and French (29%).
The most common industries among freelancers in Munich, Germany who have used OpenAI Codex in their recent projects are Information Technology (86%), Insurance (57%), and Banking and Finance (43%).
The most common business areas among freelancers in Munich, Germany who have used OpenAI Codex in their recent projects are Information Technology (86%), Product Development (86%), and Quality Assurance (71%).
Main locations of FRATCH Experts, who have recently used OpenAI Codex
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 Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg 
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FRATCH CEO
