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RAG Developers

Hire Dedicated RAG Developers

Add a vetted RAG developer to build retrieval pipelines that ground AI answers in your own documents and data, with sources cited on every answer.

Book a free consultation (opens in a new tab)

RAG Developers

Skills
  • Documents chunked and indexed correctly
  • Source citations on every generated answer
  • Citation accuracy checks
  • Indexes kept current as documents change
  • build retrieval pipelines
Engagement models
  • Full-time dedicated
Stack
  • Vector search
  • retrieval pipeline
  • indexing pipeline
  • Retrieved chunks

Typical tasks

  • Documents chunked and indexed correctly
  • The most relevant pieces retrieved per query
  • Answers grounded in your actual content
  • Source citations on every generated answer
  • Easy verification instead of blind trust
  • Indexes kept current as documents change

Everything you need to run the engagement smoothly

  • Dedicated to your project

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

  • Direct communication

    You talk to the developer 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.

  • Citation accuracy checks

    Answers spot-checked against their cited sources before the pipeline goes live.

  • Timezone overlap

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

  • No-cost replacement

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

Why teams hire RAG developers through TCB Infotech

  • We build retrieval into real systems

    We ground AI answers in ERP and business documents ourselves, so our developers are tested on real content, 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 developer's day to day work directly, on your tools and your process.

  • Pipelines you can keep

    Indexing setup and retrieval logic are 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 retrieval roadmap.

From requirements to a working developer in about two weeks

  1. Share requirements

    Tell us the documents or data you want searchable and the questions people will ask.

  2. Shortlist

    We match developers by retrieval pipeline experience and send you 2 to 3 profiles within days.

  3. Interview

    You interview the shortlist directly and pick the developer who fits your content and team.

  4. Onboard

    The developer reviews your document set and starts building the indexing pipeline in the first week.

  5. Scale as needed

    Add more document sources or a second developer as usage grows.

Hiring RAG developers, answered

What does a dedicated RAG developer do?

They build the retrieval pipeline behind an AI answer: chunking and indexing your documents, searching for the most relevant pieces at query time, and grounding the generated answer in what was actually retrieved, with sources cited.

How is RAG different from just asking a model a question?

Asking a model directly relies on what it already knows in general. RAG retrieves the specific, current information from your own documents first, so the answer is grounded in your actual content rather than a general guess.

Can we see where an answer came from?

Yes. A properly built RAG pipeline cites the source document or section behind each answer, so you can verify it rather than take it on faith.

How is this different from an AI agent developer?

A RAG developer focuses on retrieval and grounding a single answer in your documents. An agent developer builds a multi-step reasoning and tool-use loop that can take actions, not just answer questions. The two are often combined; ask us and we will scope 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 retrieval roadmap changes, with no long lock-in period.

What if the developer is not the right fit?

We replace the developer at no extra cost during the engagement, and hand over the retrieval pipeline and indexing setup to the new developer.

Hire a Dedicated RAG Developer

No commitment. See a shortlist before you decide.

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