# Hire an AI integration engineer

URL: https://byshahid.com/hire/ai-integration-engineer/
Author: Muhammad Shahid, Senior AI Software Engineer & Full Stack Developer (https://byshahid.com/)

Add AI to the product you already have: summaries, search, assistants and automation built into your backend, data and user interface, without a rewrite.

**Quick answer:** As an AI integration engineer I add AI features to existing apps and SaaS products: I connect the OpenAI and Anthropic (Claude) APIs to your backend, data and user interface, with RAG for answers from your content and tool calling into your own APIs. I build this today on the AI platform Joni (joni.ai), on top of 5+ years of production Node.js backends.

## What I build

- **LLM features in your app:** Summaries, smart search, writing help, classification and data extraction where your users already work.
- **AI assistants and copilots:** An assistant inside your product that answers from your data and takes actions through your APIs.
- **RAG over your content:** Embeddings and vector search, so answers come from your documents and records, with permissions respected.
- **Tool calling into your APIs:** Validated calls from the model into your own endpoints, with approval for anything risky.
- **Model choice, cost and speed:** The right model per feature, caching, streaming and usage limits so costs stay predictable.
- **Testing and monitoring:** Test sets before release and tracking of quality, latency and cost in production.

## Results on real products

- **Joni (joni.ai):** AI product platform — My main ongoing work: backend services, agent workflows and AI integrations for a live AI product.
- **Resume Builder – CV Maker AI:** AI in a shipped app — An App Store app with an AI assistant that improves resume text and exports ATS-friendly PDFs.
- **CV Maker – Resume Builder:** 200K → 1M+ users — Scaled a live app backend with about 60% faster APIs, the kind of backend an AI feature has to fit into.

## Tools I use

OpenAI API, Anthropic API, RAG, Tool calling, Vector search, LangChain, LangGraph, Node.js, TypeScript, Python, MongoDB, Redis, AWS

## How a project works

1. **Scope call.** We talk through the goal, the current state of the product and what success looks like.
2. **Written plan.** You get fixed milestones, delivery dates and a clear price before any work starts.
3. **Build in small pieces.** I ship in small steps with regular progress updates, so you always see what is built.
4. **Tested delivery.** Delivery includes tests, documentation, handover and free support afterwards if something breaks.

## Frequently asked questions

### What does an AI integration engineer do?

Connects AI models to an existing product: the backend calls, data access, prompts, user interface and the testing and monitoring around them, so the AI feature works for real users.

### Can you add AI without rebuilding our app?

Yes. AI features plug into your current backend and frontend through new endpoints and components, so the rest of the product stays as it is.

### Which models do you integrate?

The OpenAI and Anthropic (Claude) APIs, chosen per feature on quality, speed and cost, with retries, timeouts, streaming and rate-limit handling.

### Is our data safe when we use AI APIs?

I send only the data a feature needs, keep keys on the server, respect user permissions in retrieval, and log usage. Check the provider data terms for your contract as well.

### Can the AI answer from our own data?

Yes, through RAG: your content is indexed with embeddings and vector search, and the model answers from what is retrieved instead of guessing.

### Can the AI take actions in our product?

Yes, through tool calling into your APIs, with strict schemas, validation and human approval for anything destructive.

### How do you control AI costs?

Caching, smaller models where quality allows, trimmed context, batching background work and per-feature cost tracking.

### How long does an AI integration take?

A focused feature such as summaries or smart search often takes days to a few weeks. An assistant with RAG and actions takes longer. You get a plan with milestones first.

### Which stacks do you work with?

Node.js, TypeScript and Python backends, with MongoDB, Redis and AWS. I follow your code style, reviews and release process.

### Can we start with one small AI feature?

Yes. Starting with one feature that is easy to measure is usually the best way to prove value before a larger build.

## Tell me what you want to build

Send the details on WhatsApp or by email: what you need, where the project is now, your deadline and budget range. You get a clear plan and price back, usually within 24 hours.

WhatsApp +92 321 7815799 · contacttoshahidkhan@gmail.com · Upwork: https://www.upwork.com/freelancers/~014a63f2391f4f4bce