GenAI Developer.

Integrates generative AI pragmatically into your applications and workflows.

Remote & on-site DACH-wide
GenAI Developer — enquire

A GenAI Developer brings generative AI into everyday work: text, image and document workflows, Microsoft 365 Copilot extensions, internal tools with AI features. The role is broader and more pragmatic than the specialised LLM Engineer — closer to the business and faster to deliver.

The typical pattern is many small, quickly value-adding solutions rather than one large platform: a proposal generator here, a document summary there. Good GenAI Developers recognise which of these solutions will later need to be consolidated — and build them maintainable from the outset.

01

Document workflows

Proposals, reports and minutes are generated from templates plus context — reviewed by a human, accelerated by AI.

02

M365 Copilot extensions

Custom plugins and agents in your Microsoft environment, tailored to company data and processes.

03

Internal AI tools

Small web tools for business departments: translating with a glossary, writing in the brand voice, classifying incoming items.

04

AI feature in an existing system

Your CRM or line-of-business application gains a meaningful AI function — connected via API rather than rebuilt.

Core competencies
LLM APIsWorkflow designRapid prototypingWeb development (Python/JS)Requirements gathering
Tools & frameworks
OpenAI/Anthropic/Azure OpenAIPower Platform/Copilot Studion8n/MakeStreamlit/GradioREST APIs
Plus factors
M365 ecosystem depthData protection pragmatismBusiness department communication
How do you decide between a low-code platform and custom code?
Pragmatism check: maintainability, licensing costs and team skills belong in the answer, not technology preferences.
How do you handle personal data in GenAI workflows?
A basic understanding of GDPR is non-negotiable in the DACH region: data flows, data processing, EU hosting.
What do you do when the business department blindly trusts the AI output?
Sense of responsibility: human-in-the-loop design and expectation management are part of the role.
How do you prevent a proliferation of twenty small AI tools?
Experienced developers think about consolidation, shared building blocks and handover — not just the next tool.
What does a GenAI Developer cost as a freelancer?
According to our market observation, hourly rates in the DACH region in 2026 range between 95 and 145 euros, depending on degree of specialisation and enterprise experience.
What is the difference between a GenAI Developer and an LLM Engineer?
The GenAI Developer delivers broadly and pragmatically across many applications close to the business; the LLM Engineer goes into depth on individual applications — evaluation, scaling, product operations. For initial workflows, the GenAI Developer is usually the right place to start.
Can we run GenAI workflows in a GDPR-compliant way?
Yes — through the major providers' EU hosting options, data processing agreements and clean data flow design. The key is to consider data protection at the design stage rather than retrofitting it.
How quickly does a GenAI Developer deliver first results?
First production-ready workflows typically emerge within two to four weeks — fast proof of value is the strength of this role.

Looking for a GenAI Developer?

Tell us about your project — within one business day you’ll get an honest assessment of availability, day rate and alternatives.

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