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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.

Team Engineer

Skills
  • Training decisions documented
  • Inference endpoints documented and tested
  • Fewer models discarded
  • Evaluated against real constraints
  • trains and ships models
Engagement models
  • Full-time dedicated
Stack
  • inference endpoint
  • latency and cost budgets
  • evaluation
  • training run

Typical tasks

  • Evaluation runs against latency and cost limits, not accuracy alone
  • Training decisions documented for handover
  • Fewer models discarded at the integration stage
  • Inference endpoints documented and tested before handoff
  • Backend developer involved before the model is finalized
  • Frontend developer sees real output earlier in the build

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.

  • No-cost replacement

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

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.

From requirements to a working AI engineer in about two weeks

  1. Share requirements

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

  2. Shortlist

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

  3. Interview

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

  4. Onboard

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

  5. Scale as needed

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

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

No commitment. See a shortlist before you decide.