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Generative AI Engineers

Hire Dedicated Generative AI Engineers

Add a vetted generative AI engineer to build content and document generation pipelines, with formatting, checks and a review step built in before anything goes out.

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Generative AI Engineers

Skills
  • Validation checks before output ships
  • Fallback behavior when generation falls short
  • A review step before customer-facing output
  • Clear escalation when something looks wrong
  • Output quality checks
Engagement models
  • Full-time dedicated
Stack
  • generation pipeline
  • prompt engineer
  • human approval stage
  • validation checks
  • formatting rules

Typical tasks

  • Input handling that copes with messy real inputs
  • Validation checks before output ships
  • Fallback behavior when generation falls short
  • A review step before customer-facing output
  • Automatic checks for format and basic errors
  • Clear escalation when something looks wrong

Everything you need to run the engagement smoothly

  • Dedicated to your project

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

  • 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.

  • Output quality checks

    Validation and review steps built into every generation pipeline before it ships.

  • Timezone overlap

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

  • No-cost replacement

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

Why teams hire generative AI engineers through TCB Infotech

  • We build generation pipelines ourselves

    We ship content and document generation features into ERP and business systems, so our engineers are tested on real pipelines, 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.

  • Pipelines you can keep

    Every pipeline and validation rule 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 content roadmap.

From requirements to a working engineer in about two weeks

  1. Share requirements

    Tell us the type of content you want generated and where it needs to plug into your systems.

  2. Shortlist

    We match engineers by generation pipeline experience and send you 2 to 3 profiles within days.

  3. Interview

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

  4. Onboard

    The engineer reviews your content requirements and starts building the pipeline in the first week.

  5. Scale as needed

    Add a prompt engineer or a second pipeline as your generative AI use cases grow.

Hiring generative AI engineers, answered

What does a dedicated generative AI engineer do?

They design and build the pipeline behind a generation feature: the input handling, the model that fits the task, formatting and validation of the output, and a review step before anything reaches a customer.

How is this different from a prompt engineer?

A generative AI engineer builds the whole pipeline: input handling, the generation step, validation and integration. A prompt engineer focuses specifically on designing and testing the prompts inside that pipeline. If you already have a pipeline and only need the prompts improved, see our Prompt Engineers.

Does the output go straight to customers?

No. Every pipeline we build includes a review step, whether that is automatic validation checks or a human approval stage, before generated content reaches a customer.

What kind of content can be generated?

Product descriptions, marketing copy, support drafts, reports and similar text-based content are common. Scope is agreed up front based on your use case.

What is the engagement model?

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

What if the engineer is not the right fit?

We replace the engineer at no extra cost during the engagement, and hand over the pipeline and prompt work to the new engineer.

Hire a Dedicated Generative AI Engineer

No commitment. See a shortlist before you decide.

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