Claude, GPT, and Gemini API integration built into your product - by a dedicated engineering team.

Remote Generative‑AI Development for Europe A Dedicated Developer, Hourly or Monthly

Generative-AI features inside the product your UK or EU team already ships - summarise, draft, classify, extract, semantic search - integrated by a remote dedicated developer for €25/hr or €2,000/mo on full European overlap, GDPR-ready with a signed DPA.

GDPR / SOC 2 Aware

Anthropic / OpenAI / Google APIs

Self-Hosted or Vendor-Hosted

Generative-AI Features From Empiric Infotech LLP

Empiric Infotech LLP integrates generative-AI features inside the product your UK or EU team already ships - SaaS, fintech, B2B, internal tools, consumer products. A summarise button on a long document, a draft-this assistant, a smart-classify on inbound, a structured-extract from a PDF, a semantic search across your data, a generate-from-template feature - shipped as a feature in your codebase, behind a feature flag, with the prompt engineering, eval discipline, GDPR-aware logging, and cost/latency observability that turn an AI demo into a real product line. Two ways to engage a remote dedicated generative-AI developer, billed in EUR with the EU VAT reverse-charge and a signed DPA on day 0: book hours at €25/hr for a defined scope (a v1 LLM feature, a model swap, a Claude or GPT integration on a single surface, a GDPR-aware evals pass), or lock a month at the standard €2,000 for 160-172 hours of full-time, exclusive work overlapping the whole European working day when AI features are a rolling roadmap. The developer works in your GitHub or GitLab org, your EU cloud (AWS eu-west / eu-central, Azure Europe, GCP Europe, Hetzner, OVHcloud, Scaleway - EU data on EU infrastructure), and your model keys (Anthropic, OpenAI EU, Mistral, Google, or self-hosted Llama / Qwen for EU residency cases), with the LLM library that fits your stack (Anthropic and OpenAI SDKs, Vercel AI SDK, LangChain, LlamaIndex, or hand-rolled). We design the feature surface and the prompt, wire the API call and the streaming UI, structure the output, add retrieval where the feature needs context, build the evals on your real users' inputs (multilingual where they apply), ship behind a flag, monitor cost and latency per feature, and run the model swap when a newer or cheaper one wins. A senior team lead reviews and tests every release. Why the hourly premium? Generative-AI integration is high-iteration expert work; the monthly rate is the same flat €2,000 as any Empiric engagement once you commit. If your need is actions, see /services/ai-agent-development; if it is a chatbot, see /services/chatbot-development.

€25/hr

hourly, pay as you go

€2,000/mo

monthly, lock it in

Weekly

time report + demo

Senior-lead

review on every release

What a generative-AI engagement delivers for European teams

Not a demo notebook that does one nice thing on a slide. A production AI feature inside your real product, in your EU cloud, behind a feature flag, with the evals, cost guardrails, and an audit trail a DPO can read.

An LLM feature inside your existing product

A summarise button, a draft-this assistant, a smart-classify on inbound, a structured-extract from a PDF, a semantic search across your data, a generate-from-template feature - integrated where your UK or EU users already are, in your codebase, behind a feature flag. We will tell you when a single Claude or GPT call beats RAG beats an agent.

The right model, with EU residency where it matters

Claude (Anthropic) is our default for long-context and tool use; GPT (OpenAI EU) for cases where the latest model lineup wins with EU data residency; Gemini (Google) for multimodal or long-context cases; Mistral (EU) or open-source (Llama, Qwen) for cost-sensitive or fully self-hosted EU-residency cases. The Vercel AI SDK on the front-end where streaming UI matters. We wire it into your existing app server, your existing auth, your existing observability stack (Grafana Cloud EU, Datadog EU, your own on Hetzner / OVH), and your existing rate limits.

Structured outputs and streaming UI

Where the feature needs structured data, the LLM returns JSON Schema-conformant outputs or uses tool calling - not a regex on free-form text. Where the feature needs a fast-feeling UI, the response streams to the user, with cancel, retry, and graceful failure. Where the feature needs both, we wire both.

RAG where it earns its place, with EU residency

Some features need retrieval (semantic search, doc Q&A) - we build the RAG pipeline (chunking, embeddings via OpenAI / Voyage / Cohere / Mistral, vector DB on Pinecone EU / Weaviate / Qdrant / pgvector, reranking, citations) tuned for your corpus, with EU data residency where the use case calls for it. Many features do not need retrieval; we will tell you which is which.

GDPR-aware evals on your real inputs

Eval-driven from week one. Golden sets of your real users' inputs (anonymised, GDPR-aware), adversarial sets, LLM-as-judge accuracy grading, your team grading edge cases, regression on every prompt or model change. GDPR-aware PII redaction at write time so PII does not leak into observability. A DPO-readable audit trail. Multilingual evals where your users are not all anglophone.

Cost and latency observability per feature

A dashboard on per-feature LLM cost (input + output tokens, model, day), p95 latency, fallback rate, and the cost-per-correct-answer line from evals - per feature, not lumped. Logging to Grafana Cloud EU, Datadog EU, or your own stack on Hetzner / OVH.

A developer who is still there next month

Models change, prompts drift, features grow. A dedicated engagement means the same developer ships the next feature, swaps the model, keeps the evals green, and tunes the cost line - without notice-period drama.

How we scope a generative-AI engagement for a European team

No multi-week sales cycle and no twenty-page statement of work. A call, a written scope and DPA, a trial, then hourly or monthly - your call. All on full European working-day overlap.

A scoping call

Thirty to forty-five minutes on full European overlap. You tell us what AI feature you want shipped, what product it goes inside, what model and SDK you are already using, the data sensitivity and the languages, and what would count as a measurable outcome. No charge, no obligation.

A written scope, team proposal, and DPA

We send back the feature definition, the model and SDK we would use (with EU residency where it matters), the prompt design, the structured-output schema, the eval plan and golden set, a rough cost-per-call estimate, the feature flag and rollout plan, who we would put on it, the price both ways, and the DPA (sub-processor list, data map, EU residency).

A 7-day risk-free trial (on the monthly plan)

The developer gets into your repo and EU cloud account and ships the first slice - the feature working end to end inside your app on a small, real input set, evals running on a golden set, behind a feature flag, the DPA signed - inside the first week, reviewed and tested by the senior lead. Not a fit by day 7, full refund on the monthly plan.

Hourly or monthly, your choice

Hourly: billed by the hour at €25 with the EU VAT reverse-charge, time tracked to the minute, a weekly time report and a demo, stop any time - best for a defined scope or burst work. Monthly: 160-172 hours at the standard €2,000, monthly billing with the EU VAT reverse-charge and a signed DPA, cancel with 7 days notice - the better value when AI features are a rolling roadmap. Switch between them month to month; add a developer at the same rate.

Two ways to engage a generative-AI developer

Two ways to engage a remote generative-AI developer, billed in EUR with the EU VAT reverse-charge and a signed DPA on day 0. By the hour at €25 - pay as you go, time tracked, a weekly report and demo, no monthly commitment - best for a defined scope like a v1 feature, a model swap, a single-surface integration, or a GDPR-aware evals pass. Or monthly at the standard €2,000 for 160-172 hours of full-time, exclusive work overlapping the whole European working day - the better value when AI features are a rolling roadmap, with a 7-day risk-free trial. Either way: your repo, your EU cloud, the right SDK, EU data residency where it matters, and a senior lead reviews and tests every release. Why the hourly premium? LLM-integration work is high-iteration expert work; the monthly rate is the same flat rate as any Empiric engagement once you commit. Model and platform usage is billed to your own accounts at cost.

Pay as you go

Hourly plan

€25/hr

the premium short-burst rate - LLM-integration work is high-iteration expert work

A dedicated generative-AI developer, exclusive to you while you have hours booked
Pay as you go - billed by the hour (EU VAT reverse-charge), time tracked, a weekly report and demo
Best for a defined scope (v1 feature, model swap, single-surface integration, GDPR-aware evals); no monthly commitment, stop any time
Your repo, EU cloud, and model keys from day one; EU data residency, signed DPA
Every release reviewed and tested by a senior lead before it goes live

Book a scoping call

Best value

Monthly plan

€2,000/mo

the standard flat rate - much cheaper per hour when AI features are a rolling roadmap

A dedicated generative-AI developer, full-time and exclusive - 160-172 hours on full European overlap
The best value when AI features are a rolling roadmap - feature after feature, model swaps, eval iteration
Your repo and EU cloud from day one; the same flat rate as any Empiric engagement
7-day risk-free trial, monthly billing (EU VAT reverse-charge), cancel with 7 days notice; signed DPA
A senior lead reviews and tests every release before it goes live

Book a scoping call

Larger or longer

Dedicated team

Custom

for multi-feature roadmaps or AI features across product lines

A small dedicated team - developers plus a senior team lead who reviews and tests every release
Add a developer (or a designer for AI-feature UI) at the same rate, in 48 hours
Pair a generative-AI developer with a chatbot or agent developer to ship the related surfaces at once
Best for multi-feature roadmaps, a multi-surface rollout, or shipping AI features across product lines

Talk to us

Most European engagements start small - a block of hours at €25/hr, or a first month at €2,000 - with a working AI feature inside the first week. When the AI roadmap grows, add a developer (or a designer for AI-feature UI work) at the same flat rate, in 48 hours, no re-contracting, and a senior team lead reviews and tests every release. Quality assurance is part of that lead's job, not an extra line item. Model and platform usage costs are billed to your own accounts at cost.

What the first 90 days look like for a European team

Whether you are booking hours or on the monthly plan, the shape is the same, overlapping your whole working day. Here is a typical first three months.

Week 1
Onboarding, the DPA, and the first AI feature
Repo and EU cloud access, the DPA signed, a working local environment, the model and SDK chosen, the feature surface mapped, and a first slice live - the AI feature working end to end inside your app on a small, real input set, the prompt and structured output in place, evals on a golden set, behind a feature flag, logging on cost and latency - shipped and reviewed. Day 7 is the risk-free decision point on the monthly plan.
Month 1
An AI feature shipped to UK or EU users
The first feature rolled out (behind a flag, then a fraction of users, then GA), prompt and structured output tuned to the inputs you actually see, evals expanded, cost and latency dashboards (Grafana Cloud EU, Datadog EU) on per-feature spend and p95 latency, a fallback path on Anthropic/OpenAI outages, EU data residency confirmed, feedback collection wired.
Month 2
The second feature, the second surface, multilingual where it applies
Edge cases month one surfaced - smoothed, prompt and output schema tightened, multilingual handling for your German / French / Spanish / Italian / Dutch / Nordic users where the feature needs it, the second AI feature scoped or shipped, a model-fallback path for outages.
Month 3 and on
Model swap, GDPR pass, cost tuning, and ahead of the roadmap
A model swap if a newer or cheaper one wins on your evals, a prompt-caching pass, a GDPR and national-law compliance pass, a quality pass on eval numbers, a fine-tuning pass when the general model still misses, and the next AI feature or surface scoped.

A remote generative-AI developer - hourly or monthly - vs a fixed-price AI integration agency, a no-code AI-feature platform, or a European in-house hire

	Empiric Infotech (generative-AI developer - hourly or monthly)	Fixed-price AI integration agency	No-code AI-feature platform (Vellum, Humanloop, etc.)	Hire an AI engineer in-house in the EU/UK
What you actually get	AI features shipped inside your existing product, owned by you, with the developer who built them still there to grow and tune them	An AI feature built to a spec, then a maintenance retainer or you are on your own	A dashboard and a prompt UI; the actual integration, evals, and observability are on you	Whatever your team can build alongside their other work
Pricing model	€25/hr for hourly work, or the standard €2,000/mo for a full-time developer if you lock a month; model and platform usage billed to your accounts at cost	€10K-€60K fixed bid for a v1 AI feature; change orders billed extra	Platform subscription (€50-€1,000/mo) plus your team's time integrating	€75K-€110K salary + employer contributions - and rarely a full-time hire on its own
Estimate before you commit	An estimate both ways - hours per feature or what a month covers - plus a weekly time report and a demo	A fixed bid - you wear the overage as change orders	Platform demos; the real cost shows up after week two of integration	Internal estimates, if any
GDPR, data residency, and DPO audit trail	EU data residency where the use case calls for it, a signed DPA, sub-processor list, a DPO-readable audit trail - built in	Per the spec; a DPA may be a change order	Per platform; check the location, sub-processors, and DPA	In-house, on your own terms
Structured outputs and streaming UI	JSON Schema-conformant outputs or tool calls, streaming UI with cancel/retry, multimodal where the case calls	Per the spec; advanced cases are change orders	Whatever the platform supports	As much as your team builds
Cost and latency observability	Per-feature LLM cost, p95 latency, fallback rate, cost-per-correct-answer - in your EU observability stack	Per the spec; new dashboards are change orders	Platform dashboards on platform calls only	As much as your team builds
Quality control	A senior lead reviews and tests every release before it goes live - built in, no extra charge	Per agency - often the same people who built it	On you to review and verify	Your own review process, if you have one
When the model changes (or breaks)	The same developer swaps the model, re-runs the evals, and ships the fix - book an hour, or it is in the monthly plan	A support ticket, or a new maintenance retainer	Wait for the platform to support it	Whoever built it, if they are still at the company (notice periods run long across much of Europe)
Time to start, and invoicing	48 hours; invoiced with the EU VAT reverse-charge	2-6 weeks (proposal, SOW, kickoff); per agency terms	Days; a week or two of integration before it does real work	2-4 months, then a long notice period; payroll, social contributions

Figures are typical European market ranges, not quotes. Model and platform usage costs apply on top of any build cost in every option and are billed to your own accounts in ours. A fixed-price agency build of a comparable LLM feature commonly lands in the €10K-€60K range before change orders.

Working hours and European overlap

Our team works 09:30 AM - 07:30 PM IST and a project manager is on call 07:30 AM - 10:30 PM IST, Monday to Friday. Here is exactly when that lands for clients in the US, Europe and Australia, your region first.

UK & Ireland (London, Dublin) - full team online 5:00 AM - 3:00 PM, project manager 3:00 AM - 6:00 PM.Most of your working day overlaps ours - live standups, pair-coding and same-hour replies.

Central Europe (Berlin, Paris, Amsterdam, Madrid) - full team online 6:00 AM - 4:00 PM, project manager 4:00 AM - 7:00 PM.Most of your working day overlaps ours - live standups, pair-coding and same-hour replies.

US Eastern (New York, Boston, Atlanta) - full team online 12:00 AM - 10:00 AM, project manager 10:00 PM - 1:00 PM (next day).

US Pacific (Los Angeles, San Francisco, Seattle) - full team online 9:00 PM - 7:00 AM (next day), project manager 7:00 PM - 10:00 AM (next day).

Australia East (Sydney, Melbourne, Brisbane) - full team online 2:00 PM - 12:00 AM (next day), project manager 12:00 PM - 3:00 AM (next day).

Want it to the half-hour in your own time? Slide through your day and book a slot below.

Why European teams ship their generative-AI features with a dedicated developer, not a fixed-price agency

London, Dublin, and Madrid LLM hires who have shipped production AI features (not just glued an API to a form) land at roughly €8,500 to €13,000 a month all-in once you add employer social contributions, benefits, and equipment, on top of the three-month notice periods that are standard across most of Europe. A fixed-price AI agency build of a v1 LLM feature typically runs €10,000 to €60,000 before the first change order, then a separate maintenance retainer. Empiric Infotech is billed two ways - €25 an hour for a defined scope, or the standard €2,000 a month per developer for 160-172 hours of full-time, exclusive work - in EUR with the VAT reverse-charge, with the same person on your AI features the next month, and a senior lead reviewing and testing every release at no extra cost.

Most generative-AI integrations fail in the same places: an impressive demo on a curated input set that falls over on real EU-user inputs; a single Claude or GPT call dropped in with no eval; free-form outputs your product has to parse with a regex; cost lines that nobody is monitoring per feature; no GDPR-aware logging, so PII bleeds into observability. A dedicated Empiric developer has shipped AI/LLM features in production for UK and EU SaaS, fintech, and B2B teams - structured outputs, evals, retrieval, integration discipline - and is still there next month.

We have built web and mobile products since 2014 and AI/LLM features since the current wave began. The depth shows up in the parts a quickstart skips: structured outputs your product can consume, evals on real inputs from week one, a per-feature cost line, a fallback path on outages, a feature flag and a rollout plan, GDPR-aware PII redaction at write time, multilingual handling where the feature needs it, and the honesty to say when a single LLM call beats RAG beats an agent.

Empiric dedicated generative-AI developer

€2,000/mo

the standard flat monthly rate - 160-172 hrs full-time, exclusive, with the EU VAT reverse-charge and a signed DPA; or €25/hr for a defined scope; senior-lead review; model usage at cost

Fixed-price AI integration build

€10K‑€60K

One-time fee. A v1 AI feature; change orders and maintenance extra; usage costs still yours

EU in-house AI engineer (fully loaded)

€8.5K‑€13K/mo

€75K-€110K salary + employer contributions + benefits + equipment - and rarely a full-time hire on its own

Recent AI, product, and integration work

EdTech, German client

Vedu - AI image generation and TTS in an EdTech app

An AI-powered German language learning product built for a German client by a two-person Empiric Infotech team - the Flutter app, the flashcard and quiz engine, text-to-speech, and AI image generation wired into the content backend. The structured-generation and integration discipline a generative-AI feature needs.

Read case study

B2B SaaS, UK client

MarketPlace Monitor - a UK B2B platform engineered end to end

A UK B2B platform built for a UK client by an Empiric Infotech team - the data, the integrations, and the backend behind it. The shape of the wiring a generative-AI feature sits inside.

Read case study

Consumer product, European client

Grobs - a European product engineered end to end

A consumer product built for a European client by an Empiric Infotech team - the application, the integrations, and the backend behind it. Inside-Europe overlap and a DPA on day 0.

Read case study

Ready to ship your generative-AI feature?

Tell us what AI feature you want shipped inside your UK or EU product - the surface, the input, the output, the user, the language, the data sensitivity, and what would count as a real outcome. Within 24 hours we will send back a feature definition, a model and SDK recommendation, the prompt and structured-output design, an eval plan, a feature-flag and rollout plan, a team proposal, the DPA, and an estimate both ways. Your developer starts inside 48 hours on full European overlap.

Who This Is For

Built for Businesses Ready to
Harness AI Creativity at Scale

We partner with founders, product teams, and innovators who want AI that doesn’t just automate - it creates. From generating personalized content to building adaptive AI tools, we make sure it works for your real-world needs.

This Is for You If:

You need AI-generated outputs that meet brand, compliance, or industry standards

You’ve tried ChatGPT or Midjourney but can’t scale quality or integrate results

You want AI that can create across multiple formats : text, image, video, or code

You’re looking for secure, private AI that learns from your data without leaking it

You want generative models fine-tuned for your audience, domain, or products

You’re done with one-size-fits-all tools and need a system tailored to your workflows

What We Do

We Build Generative AI
Systems That Create Like Experts, Operate Like Engineers

We don’t stop at “prompt engineering.” We architect full-stack generative AI solutions - from model selection and fine-tuning to API integration and deployment - all designed for accuracy, reliability, and scalability.

What We Build:

AI-powered content creation pipelines (text, image, audio, video)

Domain-specific fine-tuned LLMs for better accuracy & compliance

Intelligent content moderation, filtering, and fact-checking layers

Multi-format generation workflows integrated into your existing tools

Fully automated creative processes - from ideation to publishing

Platforms & Tools We Work With (and Beyond):

We’re platform-agnostic - if it can generate, we can integrate and optimize it.

Core Capabilities

Text-to-Anything Content Generation

Produce high-quality articles, ad copy, product descriptions, and more - tailored to your brand voice and optimized for SEO or engagement.

Powered by: Chat-GPT, Claude, Gemini, custom fine-tuned LLMs

Image & Creative Asset Generation

From photorealistic product images to AI-assisted illustrations and marketing creatives - generated in seconds, not days.

Built with: Midjourney, DALL·E, Stable Diffusion

Custom Fine-Tuned Models

Train models on your proprietary data to create industry-specific AI systems that understand your niche, tone, and workflow.

Tech behind the scenes: OpenAI fine-tuning, LoRA, embeddings, Pinecone

Multimodal AI Experiences

Combine text, image, and audio generation into unified tools - for example, AI that can write a script, create visuals, and generate voiceovers in one flow.

Built using: OpenAI, ChatGPT, Runway, ElevenLabs

Data-to-Insight AI Reports

Turn raw datasets into insightful summaries, visuals, and recommendations - without a single pivot table.

Integrated into: Notion, Data Studio, PowerBI, and custom dashboards

Our AI Solutions in Action

Real Creativity. Real Systems. Real Results.

Here’s what happens when we use generative AI to replace time-heavy, creative bottlenecks with systems that never get tired.

From Concept to Campaign in Hours

Generate ad concepts, copy, and creatives - all aligned to brand guidelines.

Used by: Marketing teams scaling campaigns without increasing headcount.

AI-Powered Knowledge Assistants

Turn manuals, SOPs, and archives into chat-ready knowledge bots that answer in context.

For: Support teams, training departments, and customer self-service portals.

Fully Automated Blog & SEO Engines

From keyword → article → image → publish - no manual drafts required.

Perfect for: Agencies, eCommerce, and content-heavy platforms.

Product Mockups at Scale

Generate multiple variations of product designs, packaging, and promo visuals instantly.

Built for: Startups and brands validating designs before production.

AI-Driven Research Summaries

Read, analyze, and summarize hundreds of documents or reports into a single actionable brief.

Designed for: Analysts, consultants, and decision-makers in fast-paced industries.

Want to see what generative AI could build for you?

How We Build Systems That Scale

A Collaborative Process, Built for Your Creative and Data Needs

We don’t just plug in AI APIs - we design, train, and optimize generative AI systems around your goals, workflows, and audience.

Discovery & Use Case Mapping

We explore your goals, datasets, and workflows - identifying where generative AI can replace manual work or unlock new capabilities.

Outcome: Clear ROI-backed AI roadmap

Data Preparation & Model Selection

We prepare your content/data, choose the right base models, and plan whether fine-tuning or prompt engineering is needed.

Outcome: Optimized, domain-specific AI foundation

Prototype & Validate

We create a functional prototype to showcase capabilities and gather feedback early.

Outcome: Stakeholder alignment and proof of value

Full Development & Integration

We build and integrate the generative AI solution into your tools, systems, and workflows.

Outcome: AI running seamlessly in production

Onboarding & Creative Enablement

We train your team to use, adapt, and improve the AI’s outputs - ensuring long-term productivity.

Outcome: Confident, in-house AI adoption