AI Engineers

Hire Dedicated AI Engineers Who Ship the Full Build

Add a vetted AI engineer to your team who can take a feature from raw data to a deployed, monitored system, without the time and risk of a direct hire.

50+ ERP and software projects. Zero failed projects since 2021.

Book a Free Consultation → Features

End-to-End AI Build

📊

Data

🧠

Model

🚀

Deploy

📡

Monitor

1-2 wk

Typical shortlist time

100%

Screened on real builds

Flexible

Full time, part time or project

Free

Replacement if not a fit

Why It Matters

Most AI features fail between the demo and production

A working notebook is not a shipped feature. The gap is data pipelines, integration, deployment and monitoring, and that gap needs an engineer who has closed it before.

Beyond the Demo

Someone who can take a prototype to production

A promising prototype still needs clean data pipelines, error handling, and a deployment that holds up under real traffic. A dedicated AI engineer builds this properly instead of leaving it as a proof of concept.

Data pipelines that hold up in production.
The model that fits the task and budget.
Deployment and monitoring, not just a demo.

Dedicated, Not Shared

One engineer who knows your stack end to end

Instead of splitting your AI backlog across a rotating team, you get an engineer who works only on your account, learns your data and systems, and moves faster with every sprint.

Direct access to the engineer, not a support desk.
Continuity across your whole AI roadmap.
Contracts that scale with your workload.

A remote engineer in a video call with a client team

What the Build Covers

The same four stages, every time

Whether the feature is a prediction, a generative tool or an automation, it moves through these stages.

Example: A Support Ticket Classifier

📊

Ticket data

🧠

Classifier

🚀

Live routing

📡

Accuracy checks

How Hiring Works

From requirements to a working engineer in about two weeks

Share requirements

Tell us the feature you want built, your data sources, and your existing stack.

Shortlist

We match engineers by the skills your build needs and send you 2 to 3 profiles within days.

Interview

You interview the shortlist directly and pick the engineer who fits your project and team.

Onboard

The engineer gets access to your data and systems and starts on your backlog in the first week.

Scale as needed

Add a specialist or a second engineer as your AI roadmap grows.

What's Included

Everything you need to run the engagement smoothly

🎯

Dedicated to your project

The engineer works only on your account, not split across other clients' work.

💬

Direct communication

You talk to the engineer directly on your tools, with no account manager relay in between.

📅

Flexible contracts

Full time, part time, or a fixed scope of work. Scale up or down with notice, not a long lock-in.

✅

Code quality checks

Code review and testing on every pipeline, integration and deployment before it ships.

🌐

Timezone overlap

Working hours arranged to overlap with your team for stand-ups and reviews.

🔐

Replacement guarantee

If the engineer is not the right fit, we replace them at no extra cost during the engagement.

What Changes

What a dedicated AI engineer changes for your roadmap

Faster

Features shipped to production

Fewer

Prototypes stuck in a notebook

Continuous

Knowledge of your systems

Monitored

Models once they go live

Model-agnostic

Choices based on your data

Lower

Cost than a full-time direct hire

Why Us

Why teams hire AI engineers through TCB Infotech

We ship AI features ourselves

We build AI into ERP and business systems, so our engineers are tested on real production work, not trivia.

Fast, honest shortlisting

You see 2 to 3 profiles, not a stack of resumes, and we tell you plainly if a fit is not right.

Direct access, no relay

You manage the engineer's day to day work directly, on your tools and your process.

Code you can keep

Every pipeline, integration and deployment is documented and handed over cleanly if the engagement ends.

No long lock-in

Scale the engagement up or down with notice, based on your actual AI roadmap.

Proven delivery

50+ ERP and software projects, with zero failed projects since 2021.

FAQ

Hiring AI engineers, answered

What does a dedicated AI engineer do?

They cover the full build of an AI feature: preparing the data, integrating the model that fits the task, wiring it into your application, deploying it, and monitoring it once it is live.

How is an AI engineer different from a machine learning engineer?

An AI engineer is a generalist who can work across data, model integration, generative features and deployment. A machine learning engineer focuses specifically on training and evaluating predictive models. If your need is a classic prediction or forecasting model, see our Machine Learning Engineers.

Can an AI engineer handle both traditional and generative AI work?

Yes. A generalist AI engineer can work on prediction, classification and generative features. For a project centered on one narrow area, such as retrieval pipelines or autonomous agents, a specialist may move faster; ask us and we will recommend the right fit.

What is the engagement model?

You can hire full time, part time, or for a fixed project. Contracts scale up or down as your AI roadmap changes, with no long lock-in period.

How do you vet AI engineers?

Every engineer is screened on data handling, model integration, deployment practices, and a practical build task before being shortlisted to a client.

What if the engineer is not the right fit?

We replace the engineer at no extra cost during the engagement, and hand over any work in progress to the new engineer with a short overlap.

Hire a Dedicated AI Engineer

Book a free consultation. Tell us what you need built, and we will shortlist AI engineers who fit your project and your team.

Book a Free Consultation →

No commitment. See a shortlist before you decide.