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AI engineers

Hire Dedicated AI Engineers: LLM, ML, RAG and Prompt Specialists

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

What each service covers

  • AI Agent Developers

    Hire dedicated AI agent developers from TCB Infotech to build multi-step, tool-using agents that complete tasks in your systems, with human checkpoints.

  • AI Automation Specialists

    Hire dedicated AI automation specialists from TCB Infotech to wire AI steps into your existing business workflows and tools, with clear triggers and actions.

  • Generative AI Engineers

    Hire dedicated generative AI engineers from TCB Infotech to build content, drafting and document generation pipelines with review steps built in.

  • LLM Engineers

    Hire dedicated LLM engineers from TCB Infotech to fine-tune, serve and optimize large language models for latency, cost and accuracy on your workload.

  • Machine Learning Engineers

    Hire dedicated machine learning engineers from TCB Infotech to build, train and evaluate prediction, classification and forecasting models for your business.

  • Prompt Engineers

    Hire dedicated prompt engineers from TCB Infotech to design, test and improve the prompts behind your AI features, with results measured, not guessed.

  • RAG Developers

    Hire dedicated RAG developers from TCB Infotech to build retrieval pipelines that ground AI answers in your own documents and data, with sources cited.

Explore this group

  • Hire Dedicated AI Agent Developers

    Hire dedicated AI agent developers from TCB Infotech to build multi-step, tool-using agents that complete tasks in your systems, with human checkpoints.

  • Hire Dedicated AI Automation Specialists

    Hire dedicated AI automation specialists from TCB Infotech to wire AI steps into your existing business workflows and tools, with clear triggers and actions.

  • Hire Dedicated Generative AI Engineers

    Hire dedicated generative AI engineers from TCB Infotech to build content, drafting and document generation pipelines with review steps built in.

  • Hire Dedicated LLM Engineers

    Hire dedicated LLM engineers from TCB Infotech to fine-tune, serve and optimize large language models for latency, cost and accuracy on your workload.

  • Hire Dedicated Machine Learning Engineers

    Hire dedicated machine learning engineers from TCB Infotech to build, train and evaluate prediction, classification and forecasting models for your business.

  • Hire Dedicated Prompt Engineers

    Hire dedicated prompt engineers from TCB Infotech to design, test and improve the prompts behind your AI features, with results measured, not guessed.

  • Hire Dedicated RAG Developers

    Hire dedicated RAG developers from TCB Infotech to build retrieval pipelines that ground AI answers in your own documents and data, with sources cited.

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 at no extra cost

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

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.

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.

Common questions

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.