AI Agents Experts in Stuttgart
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Meet FRATCH Experts in Stuttgart, who have recently used AI Agents
Karin Albiez
Last position:
AI Benchmark Engineer | Native language specialist German at Lilt
- Task Engineering: Evaluating Coding Agents.
- Asset Creation: Building realistic task environments using datasets and files in German. Crucially, these assets must remain in the target language to genuinely measure multilingual handling.
- Prompting & Translation: finding failure points where AI does not work, in German.
- Implementation & Verification: Supporting the development of robust solutions (reference implementations) and write highly reliable, deterministic verifier scripts (using rubric-based judging only when strictly necessary).
- Calibration & Execution: Analyze execution logs and calibrate task difficulty (Easy to Very Hard) using standard Terminal-Bench run configurations against various model tiers (Haiku, Opus).
- Quality Assurance: Participation in a rigorous, 4-layer human quality control process (creation, human review, calibration review, and audit) alongside automated LLM-based checks to ensure fairness, grammatical accuracy, and benchmark integrity.
- Linguistic Review: Reviewing AI benchmark tasks across Hindi, Arabic, Japanese, Chinese, Czech and Turkish.
Artyom Narimanyan
Last position:
AI Automation Engineer & Solution Architect at Technology Research Project
Designed and developed an AI-powered automation platform using n8n to analyze social media niches, identify target audiences, and automate marketing strategy generation. The solution combined AI agents, workflow orchestration, and data analysis to automate research processes and generate data-driven insights.
- Designed and implemented complex automation workflows using n8n
- Developed AI-powered analysis agents for market and audience research
- Integrated multiple APIs and AI services into automated workflows
- Built automated market, competitor, and target audience analysis pipelines
- Leveraged Large Language Models (LLMs) for information summarization, classification, and prioritization
- Containerized and deployed the platform using Docker
Technologies: n8n, AI Agents, OpenAI APIs, Prompt Engineering, LLMs, Docker, Linux, REST APIs, Webhooks
German Rauhut
Last position:
Freelance Technical Product Owner & AI Product Builder at Neckarshore AI / Freelance
Two complementary tracks: (a) building my own AI products and open-source tools under the Neckarshore AI brand, with a focus on AI-supported multi-agent development processes and documentation automation; (b) freelance support for industrial, logistics, and financial companies in IT-related transformation projects.
Current product portfolio under the Neckarshore AI brand:
- Omnopsis Documenter — AI-powered documentation engine: generates compliance, technical, and release documentation from Git, Jira, and Confluence. 500+ automated tests, 100+ API endpoints, RBAC, monitoring stack.
- TrustScope — trust analysis for public GitHub repos: deterministic three-pillar report (Security & Supply Chain, Governance, Community) based on OpenSSF Scorecard, with constructive fix suggestions instead of a single misleading score.
- md-viewer — dependency-free Markdown viewer for macOS (Finder Quick Action) and web, split view of rendered document and raw text.
- Obsidian Vault Autopilot — AI-supported vault automation for Obsidian × Claude Code: sorts the inbox, renames notes, enriches frontmatter.
- Phonesis Voice Bank — voice archive for families, hospices, and cultural archives (guided recordings, inheritable archive, optional voice cloning); currently in the GDPR compliance phase (Art. 9, biometric data).
- Multi-Agent Development Process — 12+ specialized agents (architecture, implementation, security, refactoring, marketing) with structured handoff protocol, parallel execution, and automated quality assurance — powers the entire product development.
- Freelance consulting: Technical Product Ownership for production, logistics, and compliance/AML systems; steering international rollouts including test, cutover, and change management.
Stack: NestJS, TypeScript, PostgreSQL, Redis/BullMQ, Next.js, Claude Code (Opus), Docker, GitHub Actions, Vercel
Florian Becker
Last position:
Chief Delivery Officer, Process Definition & Automation at AI Health Tech
- Definition of operational business processes, from customer acquisition to accounting
- Development of the corresponding IT infrastructure and process clusters
- Design of process automation and definition of requirements for the AI technologies to be deployed
Alberto Fernandez
Last position:
Head of Product & Services at Bosch Connected Industry
- Responsible for the BCI product portfolio, application services, operations and customer support
- Developed a new strategy that utilizes Agentic AI to transform manufacturing shopfloors
- Led the GenAI integration for product documentation and customer training targeting a >20% cost reduction by reducing the size of the external team
- Restored trust with Bosch as internal customer and VW and secured new contracts by strategically positioning high-potential individuals in key roles, ensuring on-time delivery and increasing transparency
- Implemented a restructuring plan for a product area in a volatile market, targeting a 15% reduction in fixed costs to minimize EBIT impact during challenging years
- Launched a customer satisfaction improvement initiative by refocusing KPIs on customer impact. Established a clear support responsibility in product teams improving response time by 4% and resolution time by 3%
Boas Betzler
Last position:
Technical Leader and Executive Sponsor, AI Solution Assistant
- Product owner and Executive Sponsor for AI Assistant trained on a knowledge base of past solution designs, RFP documents, and current product documentation
- Used by close to 100 global architects and engineers in pre-sales and post-sales
- Generates full solution documents with requirement driven architecture decisions, solution overview, diagrams, bill of material, roles and responsibility matrix
- Technologies: AI, LLM, Chat Bot, RAG, Agentic AI, Vector Databases, Public Cloud
Steffen Dressler
Last position:
CEO & Founder at 11bytes GmbH
- Digital Transformation & Strategy: Advising clients on developing digital business models. Supporting from the first idea through MVP development and go-live to successful scaling.
- Software Development: Designing, implementing, and operating cloud platforms. Deep hands-on experience with agile methodology (SCRUM).
- AI: Intensive building of knowledge and experience in AI-driven coding and AI solutions (AI Engineering and MLOps), focusing on data-sovereign open-source solutions and Microsoft Azure. Leading and hands-on execution of AI projects.
- Leadership: Building, leading, and developing the agency team of eleven international experts.
- Focus on Regulated Markets: Experience identifying and addressing industry-specific compliance requirements. Implemented the internal change project “ISO27001 ready”.
- Overall Entrepreneurial Responsibility: Managing delivery, sales, HR, and controlling. Ensuring highest customer satisfaction (5.0-star rating) as well as quality and efficiency in software development.
- Stakeholder Management: Collaborating with managing directors, departments, service providers, and external IT teams.
Discover over 15,000 top freelancers
Statistics of experts using AI Agents
Aggregated from the professional profiles of matched freelancers.
Experience
18 years (Germany: 15 years)
Position duration
2.6 years (Germany: 2.9 years)
Positions per freelancer
11 (Germany: 10)
Top business areas
Product Development, Information Technology, Project Management
Top industries
Automotive, Information Technology, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Quality Assurance
Bachelor's degree or higher
100% (Germany: 97%)
Master's degree or higher
57% (Germany: 72%)
Certifications per freelancer
3
Most common languages
German, English, French
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 Stuttgart 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 Stuttgart 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 AI agents do
AI agents are systems that can plan, decide, and act across steps instead of only answering one prompt. They are used for support automation, research assistants, task routing, and internal workflows where a model must use tools, APIs, or memory.
Core building blocks
Strong work with AI agents usually combines:
- tool calling and function design
- prompt and state handling
- retrieval and memory patterns
- orchestration across steps
- monitoring, testing, and guardrails
Ecosystem and stack
AI Agents often sit on top of LLM APIs, vector stores, workflow tools, and app backends. Common work also touches evaluation setups, message queues, and observability so experts can trace actions and control failure cases. The right specialist knows when to keep the system simple and when to add more structure.
When companies hire help
Firms bring in freelance specialists when a pilot needs to become a stable product, or when an existing assistant starts making weak tool calls or inconsistent decisions. In Stuttgart, this often fits industrial, automotive, and software teams that need secure integrations and clear handover to local staff.
What strong specialists bring
A good AI agents professional writes clear task flows, keeps prompts and tools manageable, and tests edge cases early. They understand latency, failure handling, access control, and how to keep outputs usable for real teams. They also document the system so others can maintain it without guesswork.
Delivery and collaboration
Projects can range from concept work to production support, and many experts work well remotely with product, data, and backend teams. If on-site sessions are needed in Stuttgart, they should focus on workshops, access to systems, and quick decisions. Good collaboration keeps scope narrow and delivery practical.
Frequently asked questions
Curious about AI Agents? Here are the answers that come up again and again.
AI agents are used for tasks that need several steps, not just one response. Companies use them for support triage, document work, research assistance, workflow automation, and tool-based actions inside existing systems.
A basic chatbot answers a message, while AI agents can plan actions, call tools, and keep state across steps. That makes them better for structured work such as checking records, drafting outputs, or triggering business processes.
A strong AI agents specialist usually also knows API integration, state handling, retrieval, and testing. Knowledge of Python, JavaScript, or the relevant backend stack helps because the agent must connect cleanly to real systems.
You do not need a finished product, but you do need a clear use case and access to the systems the agent will touch. AI agents projects move faster when the workflow, success criteria, and safety limits are already defined.
Most AI agents work can be done remotely, especially design, implementation, and testing. On-site time in Stuttgart helps when teams need workshops, sensitive system access, or fast alignment with local product and IT groups.
Companies often compare AI agents with rule-based workflows, classic automation, and simple prompt-driven assistants. Agents make sense when tasks require judgment, branching decisions, or tool use; simpler automation is better when the process is fixed.
Look for clear reasoning about tool choice, failure handling, and evaluation. A good AI agents professional can explain why the design is simple, where it can break, and how they will test outputs before wider rollout.
In practice, AI agents and agentic AI are often used for the same class of systems: models that act across steps and use tools. The best specialists focus less on the label and more on whether the design is reliable, auditable, and useful for the business.
The average hourly rate of freelancers in Stuttgart, Germany who have used AI Agents in their recent projects is 119 €, which corresponds to a daily rate of about 950 € based on an 8-hour working day.
Of the freelancers in Stuttgart, 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 Stuttgart, Germany who have used AI Agents in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.6 years.
The most common languages among freelancers in Stuttgart, Germany who have used AI Agents in their recent projects are German (100%), English (100%), and French (43%).
The most common industries among freelancers in Stuttgart, Germany who have used AI Agents in their recent projects are Automotive (86%), Information Technology (86%), and Banking and Finance (71%).
The most common business areas among freelancers in Stuttgart, Germany who have used AI Agents in their recent projects are Product Development (100%), Information Technology (86%), and Project Management (86%).
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 
Cologne 
Frankfurt 
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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Philipp Thomaschewski
FRATCH CEO
