---
title: "I Will Build a Custom AI Chatbot or Microservice with Gemini or GPT"
url: https://zinnhub.com/zinns/develop-ai-chatbots-using-gemini-vertex-ai-and-gcp-solutions/
description: "Get a fully functional AI microservice or chatbot built with GPT, Gemini, or Vertex AI — including API integration, fine-tuning, and clean source code delivered by an experienced AI engineer based in London."
published: 2025-11-01T23:00:29+00:00
modified: 2026-10-19T17:29:28+00:00
language: en-GB
---

# I Will Build a Custom AI Chatbot or Microservice with Gemini or GPT

Your business deserves AI that actually works — not a template, not a demo, but a production-ready microservice or chatbot built precisely for your use case. Whether you need a conversational AI assistant, a GPT or Gemini-powered API integration, or a custom LLM solution embedded into your existing stack, this service delivers clean, tested, deployable code from an AI engineer with deep hands-on expertise.

Zinn Digital® is a London-based AI and full-stack development studio specialising in [large language model](https://zinnhub.com/zinns/integrate-large-language-models-into-your-project-with-zinn-digital/) (LLM) solutions, AI SaaS applications, and cloud-native AI architectures. Every engagement is collaborative — your goals and context drive the build, not a generic off-the-shelf approach.

\*\*What You Get\*\*

At every tier, the engagement begins with dedicated research into your use case and target environment. This informs the approach taken to fine-tuning, prompt engineering, and model selection — whether that is OpenAI’s GPT family, Google Gemini, Vertex AI, Llama 2, or another suitable model. Full API integration is handled end-to-end, and you receive clean, well-structured source code you can deploy, extend, or hand to your own team.

The standard engagement covers a focused AI microservice — a single functional unit such as a chatbot endpoint, a prompt-driven classification service, an AI-powered API call handler, or a model integration layer. The scope scales with your ambitions: larger builds add data preprocessing pipelines (so raw inputs are cleaned and structured before reaching the model), thorough model documentation (so your team understands exactly what was built and why), and full model validation and performance monitoring (so you know the solution holds up under real-world conditions).

\*\*Technologies in Use\*\*

The studio works across the leading AI and cloud ecosystems: OpenAI, Gemini, Vertex AI, Google Cloud Platform, AWS, LangChain, LangFlow, Langfuse, Flowise, N8N, Zapier, TensorFlow, PyTorch, Autogen, Llama 2, and more. No-code orchestration tools are used where they add speed and maintainability; custom code is written where precision matters.

\*\*Who This Is For\*\*

This service is ideal for founders building AI-powered products, technical leads who need a specialist to deliver a specific AI component, businesses automating internal workflows with LLMs, and teams looking to integrate conversational AI into an existing platform. You do not need a technical background to engage — clear communication of your goal is enough to get started.

\*\*How It Works\*\*

Once your order is placed, you will be asked for a brief project overview. The team reviews your requirements, clarifies scope if needed via the order chat, then gets straight to work. Deliverables arrive as source code with any supporting files agreed during scoping. Any questions along the way are handled through the order manager.