---
title: "Hire RAG Developers | Retrieval-Augmented Generation Experts | Agility"
url: https://agilitytech.ai/hire-rag-developers
description: "Hire senior RAG developers to build retrieval-augmented generation assistants over your documents and systems, with cited answers, evaluation and guardrails."
publisher: Agility (agilitytech.ai)
---

Hire · RAG Developers

# Hire RAG Developers

Retrieval-augmented generation sounds simple until the bot confidently cites the wrong policy.

- Senior, pre-vetted engineers only
- You interview and choose before anyone starts
- Working-hours overlap with India, the UK and the USA

48-hour turnaround · free · no obligation

### Talk to us about hiring RAG developers

Tell us what you want to build. A senior engineer sends back a scope and a fixed price within two business days, no obligation.

In short

## The quick answer

Our RAG developers spend most of their time on the unglamorous parts: parsing documents properly, tuning retrieval, adding citations and measuring whether the right passage actually came back.

The role

## What our RAG developers do

### What our RAG developers build

- Internal knowledge assistants over policies, contracts and manuals
- Customer support assistants that answer from your help content
- Search and question answering across SharePoint, Confluence, drives and databases
- Cited answers so users can check every claim
- Evaluation sets that track answer accuracy over time

### When to hire a RAG developer

- Your RAG prototype gives confident but wrong answers
- Answers need citations for compliance or trust
- You have large or messy document sets that need proper ingestion
- Data must stay in your own cloud or on-premises

Skills

## Skills and stack

- LangChain
- LlamaIndex
- pgvector
- Pinecone
- Weaviate
- Elasticsearch
- OpenAI and Claude
- Open embedding models
- Python

Process

## How hiring works

- 01 ### Share your needs Tell us the stack, the problem and how you want to work. We confirm fit on a short call.
- 02 ### Interview the shortlist We send profiles of pre-vetted senior engineers who match your stack and domain. You interview and choose.
- 03 ### Onboard and ship Your engineers onboard and start delivering without a long recruiting cycle, with working software at the end of each sprint.

Engagement models

## Three ways to work with us

### Staff augmentation

Add one or two senior engineers to your existing team to close a specific skill gap. Your leads, our specialists.

### Dedicated team

A small senior team working only on your roadmap, with a lead who owns delivery.

### Defined project

A scoped build such as a RAG system, a model or a pipeline, delivered to an agreed outcome.

Related work

## See similar systems in production

[Insurance document automation case study](https://agilitytech.ai/case-studies/insurance-automation)[Healthcare AI case study](https://agilitytech.ai/case-studies/healthcare-ai)[HSN code classification case study](https://agilitytech.ai/case-studies/hsn-classification)

Next step

Comparing options? Read [what it costs to hire AI developers](https://agilitytech.ai/hire-ai-developers-cost) or [contact us](https://agilitytech.ai/contact) to discuss your project.

FAQ

## Hiring RAG developers: FAQs

[Ask us something else](https://agilitytech.ai/contact)

**What is a RAG developer?+**

A RAG developer builds retrieval-augmented generation systems: pipelines that find the right passages in your own data and give them to a language model, so answers are grounded in your content rather than the model memory. The job covers ingestion, chunking, embeddings, retrieval tuning, prompting and evaluation.

**Why do RAG prototypes fail in production?+**

Usually because retrieval returns the wrong passages, documents are chunked badly, or nobody measures accuracy. Our developers fix this with better ingestion, hybrid search, reranking and an evaluation set that catches regressions before users do.

**Can a RAG system cite its sources?+**

Yes. We build assistants that show the documents and passages each answer came from, which is important for regulated teams and for user trust.

**Can RAG run without sending data to a public AI API?+**

Yes. We deploy RAG with open models and self-hosted vector databases in your cloud, private cloud or on-premises environment when data cannot leave it.

**How long does a RAG build take?+**

A focused RAG assistant typically reaches production in 3 to 8 weeks, with working software demonstrated at the end of each sprint.

Keep reading

## Related pricing and decision guides

[Hire AI developers (all roles)](https://agilitytech.ai/hire-ai-developers)[Hire LLM developers](https://agilitytech.ai/hire-llm-developers)[Hire LangChain developers](https://agilitytech.ai/hire-langchain-developers)[Hire AI agent developers](https://agilitytech.ai/hire-ai-agent-developers)[Hire machine learning engineers](https://agilitytech.ai/hire-machine-learning-engineers)[Hire MLOps engineers](https://agilitytech.ai/hire-mlops-engineers)

## Get your exact number with a free 48-hour audit

Indicative ranges only get you so far. Tell us the specifics and get a scope and a fixed price in two business days.

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