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.

50+ ERP and software projects. Zero failed projects since 2021.

Book a Free Consultation → Features

Retrieval Pipeline

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Query

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📊

Vector search

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📄

Retrieved chunks

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Answer

1-2 wk

Typical shortlist time

100%

Screened on real retrieval builds

Flexible

Full time, part time or project

Free

Replacement if not a fit

Why It Matters

A general answer is not the same as a grounded one

Without retrieval, an AI answer is a general guess. With it, the answer is tied to your actual documents, and you can check where it came from.

Grounded in Your Content

Answers tied to what you actually have on file

Policy documents, product manuals, contracts and internal wikis all change constantly. A dedicated RAG developer builds the pipeline that indexes this content and retrieves the right piece at the moment someone asks.

Documents chunked and indexed correctly.
The most relevant pieces retrieved per query.
Answers grounded in your actual content.

A developer building a retrieval pipeline

Sources You Can Check

Every answer traces back to a source

A grounded answer is only useful if you can verify it. A dedicated developer builds citations into the pipeline so every answer points back to the document or section it came from.

Source citations on every generated answer.
Easy verification instead of blind trust.
Indexes kept current as documents change.

A remote developer in a video call with a client team

What the Pipeline Looks Like

The same four stages, whatever the document set

Policies, manuals or contracts all move through this same retrieval shape.

Example: An Internal Policy Assistant

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Employee question

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Policy search

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Matching clause

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Cited answer

How Hiring Works

From requirements to a working developer in about two weeks

Share requirements

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

Shortlist

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

Interview

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

Onboard

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

Scale as needed

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

What's Included

Everything you need to run the engagement smoothly

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Dedicated to your project

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

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Direct communication

You talk to the developer directly on your tools, with no account manager relay in between.

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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.

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Timezone overlap

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

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Replacement guarantee

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

What Changes

What a dedicated RAG developer changes for your knowledge base

Grounded

Answers tied to your documents

Cited

Sources on every answer

Current

Indexes as documents change

Fewer

Wrong or made-up answers

Model-agnostic

Approach fit to your data

Lower

Cost than a full-time direct hire

Why Us

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.

Proven delivery

50+ ERP and software projects, with zero failed projects since 2021.

FAQ

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

Book a free consultation. Tell us what content you want searchable, and we will shortlist developers who fit your data and your team.

Book a Free Consultation →

No commitment. See a shortlist before you decide.