AI Team / Engineer

Hire a Dedicated AI Team Engineer

Add an engineer who trains and ships models against the architect's design, as part of a pre-matched AI team already used to working together.

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

Book a Free Consultation → Features

Ep 1Accuracy81.2%

Ep 5Accuracy91.4%

Ep 9Accuracy95.8%

1-2 wk

Typical shortlist time

100%

Screened on real model training

Roles that already work together

Free

Replacement if not a fit

Why It Matters

A model trained without a design constraint often can't ship

A model tuned only for accuracy, without a latency or cost budget in mind, frequently gets rejected at the integration stage, after the training time is already spent.

Trained Against a Budget, Not Just a Metric

Models built to actually ship, not just score well

The engineer trains within the latency and cost budget the architect has already set, so the model that scores best in evaluation is also the one that can run in production.

Evaluation runs against latency and cost limits, not accuracy alone.
Training decisions documented for handover.
Fewer models discarded at the integration stage.

A Clean Handoff Into the Product

The backend developer builds against a working endpoint, not a notebook

Because the AI engineer and backend developer are placed as one team, the inference endpoint is handed off in a form the backend developer can integrate directly, without a separate translation step.

Inference endpoints documented and tested before handoff.
Backend developer involved before the model is finalized.
Frontend developer sees real output earlier in the build.

An AI engineer and backend developer reviewing an inference endpoint

What a Training Log Looks Like

Every run evaluated against the same metric

Illustrative example. Your actual metrics depend on the model and task you are building.

Ep 2Loss0.31

Ep 6Loss0.12

How Hiring Works

From requirements to a working AI engineer in about two weeks

Share requirements

Tell us the task, the data you have, and your latency or cost constraints.

Shortlist

We match an engineer by model type and domain experience and send you 2 to 3 profiles within days.

Interview

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

Onboard

The engineer reviews the architecture and starts the first training run in the first week.

Scale as needed

Move to the next model or feature as the product grows.

What's Included

Everything you need to run the engagement smoothly

🎯

Dedicated to your product

The engineer works only on your models, not spread across other clients' projects.

💬

Direct communication

You and your team talk to the engineer directly, with no extra layer in between.

📅

Flexible contracts

Full time, part time, or as part of the full AI team. Scale up or down with notice.

✅

Evaluated against real constraints

Models are evaluated against latency and cost budgets, not accuracy alone.

🌐

Timezone overlap

Working hours arranged to overlap with your team for review sessions.

🔐

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 team engineer changes for your product

Shippable

Models trained against real cost and latency budgets

Faster

Handoff into a backend developer on the same team

Fewer

Models discarded at the integration stage

Documented

Training decisions and evaluation results

Aligned

With the architecture the team already agreed on

Lower

Cost than a full-time direct hire

Why Us

Why teams hire their AI team engineer through TCB Infotech

We train our own models

We evaluate models against real cost and latency budgets on our own projects, so our engineers are screened on real training 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 and your team work with the engineer directly, on your tools and your product roadmap.

A team that already fits together

The engineer hands off directly to the backend and frontend developer on the same AI team.

No long lock-in

Scale the engagement up or down with notice, based on the models you have left to build.

Proven delivery

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

FAQ

Hiring an AI team engineer, answered

What does the AI team engineer do?

They build the data pipeline, train and evaluate models, and hand off a working inference endpoint to the backend developer on the same team, all within the architecture the AI architect has already designed.

How is this different from hiring one of your standalone AI engineers?

The core skill set is the same, but this engineer is placed as part of the four-role AI team, already matched to the architect, backend developer and frontend developer on the same product. We also place AI engineers as a standalone hire if you only need this one role.

Can I hire just the AI engineer without the rest of the team?

Yes, this role can be hired on its own. Most teams building a new AI product hire the engineer alongside the architect, backend and frontend developer, since the model hands off directly into a matched API and interface.

Who decides which model or approach the engineer uses?

The AI architect on the same team sets the design constraints, such as latency and cost budgets, and the engineer chooses the specific model and training approach within those constraints.

What is the engagement model?

You can hire full time, part time, or as part of the complete four-role AI team. Contracts scale as the model moves from prototype to production.

What if the engineer is not the right fit?

We replace them at no extra cost during the engagement, with a handover of the training code and model evaluation results to the new engineer.

Hire a Dedicated AI Team Engineer

Book a free consultation. Tell us about your product, and we will shortlist an engineer who fits your team and your timezone.

Book a Free Consultation →

No commitment. See a shortlist before you decide.