Skills
What our RAG developers know
We put forward developers with production RAG experience, and you interview them before they join your team.
- Chunking and embedding strategies
- Vector search in Postgres (pgvector) and dedicated stores
- Hybrid keyword and semantic search
- Citations and source links in answers
- Document-level access control
- Measuring retrieval and answer quality
Roles
Who you can hire
Search developer
Builds AI search across wikis, drives, tickets and databases.
Assistant developer
Ships assistants for support, sales or operations that cite their sources.
Data pipeline developer
Keeps the index fresh as documents change.
Engagement
Ways to work with us
Dedicated developer
A full-time developer on your project: 160 hours a month, your tools, your standups.
Part-time or hourly
Hours when you need them, for a defined backlog or ongoing improvements, with every billed hour tracked in Hubstaff.
A small team
Developers plus a lead who plans the work, reviews code and sends daily or weekly reports by email.
Hiring terms
Low risk to start, easy to change
2-week trial
Start with a two-week trial before you commit.
Free replacement
If a developer isn’t the right fit, we replace them at no cost.
No minimum term
No long-term contract and no minimum hours. Scale up, down or stop when you need to.
You own the code
The code and IP are yours, and we sign an NDA before we see your codebase.
Full-time Widle employees
Every developer is on our team in Ahmedabad. No freelancers, no subcontractors.
Start in 1–2 weeks
A developer usually joins your team within one to two weeks of your enquiry.
Junior to lead
Junior, mid-level and senior developers, or a lead who plans the work and reviews code.
Hours that fit yours
Our day runs 9:00 am–7:00 pm IST; for US teams we shift hours to overlap with yours.
How it works
Hire RAG developers in four steps
- 01
Enquiry
Share your requirements: stack, scope, time zone and how many developers you need.
- 02
Shortlist profiles
We share the profiles of suitable developers for you to shortlist.
- 03
Interview
Your team interviews the shortlisted candidates and picks who to work with.
- 04
Add to team
The developer joins your team and starts on your project, with reporting from day one.
Vetting
How we vet RAG developers
A few of the questions we ask, and what a good answer tells us. Use them in your own interview too.
- Q1
How do you choose a chunk size?
Checks they test against real questions, not defaults.
- Q2
How would you make sure users only see documents they can access?
Tests permission-aware retrieval.
- Q3
How do you measure whether retrieval is good?
Looks for recall and answer-quality metrics.
- Q4
What happens when a document is updated?
Checks re-indexing design.
RAG at Widle
What we build with RAG
AI Agents & LLM Apps
Assistants that answer from your documents, use your tools and hand over to a person when they should, tested before they meet a customer.
Learn more →AI Full-Stack Development
AI products that hold up with real users: SaaS platforms, copilots and AI features inside your app, with the unglamorous parts (auth, billing, testing and monitoring) done properly.
Learn more →AI Wrapper Apps
Turn a prompt that works into a product people pay for: accounts, usage limits, billing and an admin panel on top of Claude, Gemini or OpenAI.
Learn more →Hiring RAG developers: FAQs
Do we need a separate vector database?
Often not. Postgres with pgvector, for example in Supabase, covers many projects.
Which models do you use with RAG?
Claude, OpenAI or Gemini, chosen for the task and budget.
Can answers link back to the source?
Yes. We build answers with citations so users can check them.