Fits your existing product
AI features added through clean APIs, without rebuilding your app.
AI Integration into Applications
Hire a freelance AI integration developer
Already have an app, platform or internal tool? I add AI features to it, such as smart search, summaries, writing assistants and AI agents, built properly for production, not just as a demo.
I specialise in exposing AI and ML models through secure REST APIs (FastAPI, Flask), deployed with Docker on Azure with CI/CD, so new features fit cleanly into your existing product.
Why it's worth it
What AI Integration into Applications can do for your business
Production-grade
Secure, monitored, containerised and deployed with CI/CD.
The right model for the job
OpenAI, Claude or Azure OpenAI, chosen for accuracy, privacy and cost.
Agents and tools
AI that can take actions in your system through function calling and MCP.
Use cases
What I can build for you
- Smart search across your app's content
- Automatic summaries of documents, tickets or calls
- In-app AI assistant or copilot
- AI agents that take actions via your APIs (MCP, function calling)
- Text and image classification
Tech I use
- OpenAI
- Anthropic Claude
- Azure OpenAI
- MCP
- FastAPI
- Docker
- Azure
- GitHub Actions
How it works
From first call to launch
- 1
Discovery call
We talk through your goal, your current process and the tools you already use.
- 2
Plan & quote
You get a clear scope, timeline and fixed quote before any work starts.
- 3
Build & demo
I build in short iterations and show you working demos along the way.
- 4
Launch & support
I deploy it, hand over documentation and stay available for fixes and improvements.
Proof
Related projects I've built
Multi-Agent Orchestrator
Coordinates specialized LLM agents to plan and execute complex multi-step tasks with shared state and routing between agents.
- LangGraph
- Function calling
- Python
MCP Agent Toolkit
Reusable toolkit for building Model Context Protocol agents that connect LLMs to external tools, APIs and data sources.
- MCP
- LLM APIs
- Python
AI Personal Assistant
Agentic assistant that understands intent, keeps conversational context and autonomously executes multi-step tasks.
- LangChain
- Prompt engineering
- FastAPI
FAQ
AI Integration into Applications: common questions
Do I need to rebuild my app to add AI?
No. AI features are usually added through new API endpoints that your existing app calls, so your current product stays as it is.
Is my data safe when using AI models?
I design integrations with privacy in mind, for example using Azure OpenAI or providers' business terms where data isn't used for training, and only sending the data that's needed.
Can the AI take actions, not just answer questions?
Yes. With function calling and the Model Context Protocol (MCP), AI agents can safely use your APIs to look things up or perform tasks.
Which programming languages do you work with?
Mainly Python (FastAPI, Flask) for AI backends, which can be called from apps written in any language.
More services
Other things you can hire me for
AI ChatbotsSmart chatbots for your website, WhatsApp or team that answer from your own documents and data, 24/7.AI Voice AgentsPhone agents that answer calls, handle FAQs and book appointments in natural, human-like conversation.WebsitesFast, modern websites for your business or personal brand, like this one, built to win clients and ready for AI features.Workflow AutomationConnect your CRM, email, Sheets and tools so data entry, follow-ups and reports run by themselves.
Contact
Let's build something that runs itself
Hire me to build any of these for your business. Tell me what you need and I usually reply within a day.