AI Engineer in Dortmund
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Meet FRATCH AI Engineers in Dortmund
Nemanja M.
Last position:
AI Engineer / Senior Backend Engineer at Intelycx
Manufacturing intelligence platform with enterprise workflows, RAG, real-time AI assistant features, and multi-repository backend architecture.
- Built and extended production AI/backend services with Django, DRF, FastAPI, GraphQL, Celery, PostgreSQL, MySQL, Redis, and WebSockets across a modular multi-repository platform.
- Contributed to ARIS V2, a real-time manufacturing AI assistant using LangChain, LangGraph, MCP tool orchestration, planning/execution flows, OpenAI, AWS Bedrock, Qdrant, and Elasticsearch/OpenSearch-backed retrieval.
- Supported rollout expansion from ARIS V1 in 4 of 17 client production plants to ARIS V2 currently active in 13 of 17 plants, increasing real-world deployment coverage to more than 50% of the client footprint.
- Worked on document-grounded RAG functionality including ingestion, OCR, chunking, embeddings, indexing, retrieval, reranking, and grounded answer generation for industrial workflows.
Stack: Python, Django, DRF, FastAPI, LangChain, LangGraph, GraphQL, Celery, WebSockets, OpenAI, AWS Bedrock, Qdrant, Elasticsearch/OpenSearch, PostgreSQL, MySQL, Redis, Docker.
Laurin H.
Last position:
Software Architect (Freelance) at Care4Sure
- Delivered MVP-focused full-stack architecture for a health-sector client: Vite/React frontend, backend services on Google Cloud Run, and Supabase for database plus IAM/authentication.
- Supported product requirements engineering and prioritized cost-aware workload placement, implementing browser-side/edge computation where feasible before moving logic to backend services.
Kersten L.
Last position:
Lead Architect / Lead Developer at Bettles: Sports Betting Platform
- Complete greenfield rebuild across the whole stack — built AI-native: backend in Go and NestJS, PostgreSQL (CNPG) on K3s with GitOps/Terraform; frontend on Angular 22, zoneless.
- Orchestrated coding agents (e.g. Claude Code, Cursor) across the entire lifecycle — architecture, implementation, testing, reviews, documentation — driven by Specification-Driven Development (SDD).
- “Bruno” — LLM commentator persona backed by RAG and MCP for a personality that stays consistent across all generations (match previews, post-match reports, his own virtual bets).
Angular 22 (zoneless, without Zone.js), Claude Code, Claude Code Skills, CNPG, Cursor, Design Tokens (Spec for Code), Docker, Gherkin, Git, GitLab, GitOps, Go, Google Gemini, Grafana, Hetzner Cloud, K3s, Keycloak, Kubernetes, Lighthouse, LLM Integration, Model Context Protocol (MCP), NestJS, Node.js, NPM, Playwright, PostgreSQL, Prometheus, RAG, REST, Specification-Driven Development (SDD), Structured Outputs, Terraform, TypeScript, Vitest
Mojtaba P.
Last position:
AI Voice / RAG / Automation Engineer & Technical Project Manager at Technolohit
- Technical design, prioritization, and hands-on implementation of AI automation, conversational AI, voice AI, and private AI solutions.
- Translation of business requirements into system architecture, conversation/workflow logic, APIs, data flows, and production-ready AI workflows.
- Development of backend and integration components with Python/FastAPI, PostgreSQL/pgvector, Redis, REST APIs, webhooks, and background jobs.
- Design and implementation of RAG architectures with local/private LLMs, embeddings, document processing, semantic search, and controlled access to company knowledge.
- Prompt engineering for LLM and voice/conversational AI applications; iterative optimization based on real processes, system responses, and quality requirements.
- Practical work with ElevenLabs and its APIs in a voice AI project, as well as technical evaluation and integration of voice AI components.
- Deployment and operation of Docker-based systems on Linux with Nginx, CI/CD, monitoring/logging, backup/restore, and reproducible deployment processes.
Adnan U.
Last position:
Independent AI & Automation Projects
- Development of an automated job-scouting workflow for the aggregation and LLM-based evaluation of job postings from RSS feeds and APIs.
- Development of a Telegram bot for voice and text messages, featuring LLM-supported processing, summarization, and structured JSON output.
- Implementation of a personal task-planning assistant using n8n, OpenRouter, and Supabase for automated daily and knowledge organization.
- Development of LLM chatbots for structured knowledge retrieval utilizing prompt constraints, guardrails, and forced output formats.
Patrik G.
Last position:
Technical Lead Conversational AI at CANCOM
- Technical lead of a team developing agentic chatbot solutions (React, TypeScript, Python, FastAPI)
- Architecture design for multi-LLM dialog systems - focus on maintainability, UX, and autonomous execution
- Stakeholder alignment, CI/CD processes, and AI integration at enterprise level
Discover over 15,000 top freelancers
AI Engineers statistics
Aggregated from the professional profiles of matched freelancers.
Experience
14 years
Position duration
1.7 years (Germany: 2.8 years)
Positions per freelancer
9
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Healthcare, Automotive
Certification focus areas
Information Technology, Human Resources, Business Intelligence
Bachelor's degree or higher
100% (Germany: 95%)
Master's degree or higher
50% (Germany: 68%)
Certifications per freelancer
3 (Germany: 2)
Most common languages
German, English, Bosnian
Speak two or more languages
100% (Germany: 96%)
Based on our profile pool as of 3 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this role in Dortmund 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 for AI Engineers in Dortmund
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 3 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
AI Engineers 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 (100%)
- Healthcare (83%)
- Automotive (67%)
- Education (67%)
- Manufacturing (50%)
- Retail (50%)
- Energy (33%)
- Insurance (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the role
What AI Engineers deliver
AI Engineers turn data, models and software into reliable products that solve operational problems. They design AI systems, prepare training data, select suitable algorithms and connect models to business applications.
- Translate business goals into measurable AI use cases
- Build, train and evaluate machine learning models
- Develop APIs and integrate models into existing software
- Document decisions, assumptions and model performance
Core technical skills
Strong professionals combine software engineering with statistics and machine learning. They work confidently with Python, SQL, REST APIs and cloud environments, and understand data pipelines, feature engineering, model evaluation and version control. Depending on the assignment, they use tools such as PyTorch, TensorFlow, scikit-learn, MLflow, Docker and Kubernetes.
Specialization may include natural language processing, large language models, retrieval-augmented generation, computer vision, recommendation systems or predictive maintenance. A capable AI Engineer also considers security, privacy, explainability and the cost of operating a model in production.
When freelance support fits
Companies bring in freelance AI Engineers when they need specialist expertise without building a permanent team. Typical situations include validating an AI use case, developing a proof of concept, modernizing an existing data science solution or preparing a model for production.
Freelance support is also useful during product launches, data platform changes and temporary capacity gaps. In Dortmund, assignments may involve industrial companies, logistics providers, technology firms or Mittelstand businesses that want to connect AI with established operational systems. Remote delivery works well when data access and technical ownership are clearly organized; workshops, stakeholder sessions and deployment work may require on-site collaboration.
What sets strong professionals apart
A strong AI Engineer does more than produce an accurate model. They choose a practical approach, challenge weak assumptions and explain technical trade-offs to product owners, engineers and business teams. They define how success will be measured and plan for monitoring, retraining, drift and failure handling.
- Use representative data and transparent evaluation methods
- Separate experiments from maintainable production code
- Build reproducible pipelines and deployment processes
- Communicate limitations, risks and expected business impact
The best freelance AI Engineers leave behind usable documentation, tested interfaces and a clear handover. They can work independently while fitting into existing engineering, data and compliance processes.
Frequently asked questions
What clients ask us most about AI Engineers — answered in short.
A freelance AI Engineer designs and implements AI features from initial use case through production deployment. The scope can include data preparation, model development, API integration, cloud deployment, monitoring and knowledge transfer.
A capable machine learning engineer should combine Python development with statistics, data modeling, software architecture and deployment experience. Depending on the brief, you may also need expertise in large language models, computer vision, NLP, MLOps or cloud infrastructure.
An AI Engineer focuses strongly on turning models into robust software that can run in production. A data scientist often concentrates more on analysis, experimentation and business insights, although the responsibilities can overlap in smaller teams.
A freelance AI developer is useful when you need specialist skills for a defined product phase, proof of concept or integration effort. Freelance support can also help an internal team move forward while you assess long-term demand before creating a permanent position.
Yes, many AI Engineers work remotely when access to data, repositories and deployment environments is well managed. On-site workshops in Dortmund can still be valuable for requirements gathering, process discovery and collaboration with operational teams.
A useful brief for an ML engineer states the business problem, available data, target users, existing technology and expected production environment. It should also clarify security requirements, ownership of deliverables, access constraints and how model quality will be evaluated.
Review how an AI Engineer explains trade-offs, validates data and measures performance rather than focusing only on impressive demonstrations. Ask for examples of deployed systems, monitoring practices, documentation and how the professional handled unreliable data or changing requirements.
A strong AI professional typically delivers tested code, data or model pipelines, evaluation results, deployment instructions and technical documentation. The handover should also explain limitations, monitoring needs, retraining triggers and how the system can be maintained by the client team.
The average hourly rate for AI Engineers in Dortmund is 81 €, which corresponds to a daily rate of about 647 € based on an 8-hour working day.
Of the freelancers working as AI Engineers in Dortmund, 100% hold at least a Bachelor's degree and 50% hold at least a Master's degree.
On average, freelancers working as AI Engineers in Dortmund have 14 years of professional experience, with a single engagement typically lasting around 1.7 years.
The most common languages among freelancers working as AI Engineers in Dortmund are German (100%), English (100%), and Bosnian (17%).
The most common industries among freelancers working as AI Engineers in Dortmund are Information Technology (100%), Healthcare (83%), and Automotive (67%).
The most common business areas among freelancers working as AI Engineers in Dortmund are Information Technology (100%), Product Development (100%), and Project Management (67%).
FRATCH AI Engineers main locations
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 
Essen Request a free demo
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Philipp Thomaschewski
FRATCH CEO
