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.
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.
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.
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.
The same four stages, every time
Whether the feature is a prediction, a generative tool or an automation, it moves through these stages.
From requirements to a working engineer in about two weeks
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 a dedicated AI engineer changes for your roadmap
Why teams hire AI engineers through TCB Infotech
Hiring AI engineers, answered
What does a dedicated AI engineer do?
How is an AI engineer different from a machine learning engineer?
Can an AI engineer handle both traditional and generative AI work?
What is the engagement model?
How do you vet AI engineers?
What if the engineer is not the right fit?
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.
How Hiring a Dedicated AI Engineer Works
From the requirements call to a monitored feature in production. Here is how we vet, match and onboard every AI engineer we place.
Vetting, matching and onboarding, in that order
Every engineer passes a practical build test
Before an engineer joins our bench, they are tested on data handling, model integration, deployment practices, and a hands-on task taking a small feature from raw data to a working endpoint. Only engineers who pass are shortlisted to clients.
- Data pipeline and preparation fundamentals.
- Model integration and evaluation.
- A real build-and-deploy task.
You get a shortlist, not a resume pile
We match engineers to your specific requirements: the type of feature you are building, your data sources, and the timezone overlap that works for your team. You see 2 to 3 fitting profiles, not fifty.
- Matched to the feature you are building.
- Matched to your data sources and stack.
- Matched to your working hours.
A structured start, then you take the lead
The engineer gets access to your data and systems, reviews any existing work, and starts on your backlog in the first week. You manage priorities directly from there.
- Access and environment setup in the first days.
- A review of any existing prototypes or code.
- Direct day-to-day management by your team.
Everything included in the engagement
Dedicated engineer
Works only on your account, not shared across other clients' work.
Direct communication
Access to the engineer on your own tools, with no account manager relay.
Flexible contracts
Full time, part time, or a fixed scope, adjustable with notice as your roadmap changes.
Code quality checks
Review and testing on every pipeline and deployment before it reaches production.
Timezone overlap
Working hours arranged to overlap with your team for stand-ups and reviews.
Replacement guarantee
A new engineer at no extra cost if the current one is not the right fit.