Dedicated GraphQL Talent

Hire GraphQL Developers Who Design Clean Schemas And Fast APIs

Bring on a vetted GraphQL developer, or a full dedicated team, hourly, part-time or full-time, for schema design, Apollo Server and Client, resolver architecture, federation, subscriptions, DataLoader and N+1 fixes, query caching and REST to GraphQL migrations, so your API stays fast and well resolved under real traffic.

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See Engagement Models

Schema

Types, resolvers, federation

3 models

Hourly, dedicated, project-based

1 wk

Typical time to onboard a developer

No lock-in

Month-to-month engagements

Our Clients

Trusted by Visionaries, Built for All

Bold startup or growing enterprise, we craft digital experiences engineered to scale with your vision.

Schema Design
Apollo Server & Client
Federation
Subscriptions
Caching & DataLoader
REST To GraphQL

Why Hire GraphQL Developers

Developers Who Treat The Schema As The Contract

Plenty of people can wire up a resolver and return some data. Our developers understand where the real decisions live, how to model types so the graph stays coherent as it grows, where DataLoader belongs, when to reach for federation, and how caching and query cost interact, so the API stays fast and predictable once it is carrying real traffic.

Pre-Vetted Skills

Every developer is assessed on real GraphQL work, schema design, resolver architecture, N+1 fixes and caching, not a generic coding puzzle.

Flexible Engagement

Scale from a single developer to a full API team as the graph grows, without renegotiating a new contract each time.

Fast Onboarding

Most engagements start within a week, with a developer who can read an existing schema and resolver layer and start shipping from day one.

No Long-Term Lock-In

Month-to-month engagement. Scale up, scale down or wrap up the work without a fixed-term contract working against you.

Engagement Models

Three Ways To Bring A GraphQL Developer Onto Your Team

Pick the model that fits how much API work you actually have, not a one-size-fits-all retainer.

Hourly

For small fixes, a handful of resolvers, or a project whose scope is still moving.

Billed for hours actually worked
No minimum monthly commitment
Good fit for bug fixes and small features

Dedicated Developer

A developer works exclusively on your product, part-time or full-time, for the length of the engagement.

Consistent developer, no context switching
Direct communication with your team
Best for ongoing product roadmaps

Project-Based

A fixed-scope build with a defined deliverable, timeline and price.

Clear scope agreed before work starts
Fixed cost, fixed timeline
Best for a single, well-defined build

Skills Our Developers Cover

Everything A GraphQL Project Actually Needs

Schema Design
Apollo Server & Client
Resolver Architecture
Schema Federation
Subscriptions & Real-Time
DataLoader & N+1 Fixes
Query Caching
REST To GraphQL Migration
Code Generation & Typed Clients
Authentication & Field Auth
Error Handling
Performance & Tracing

Freelancer vs Agency vs Dedicated Team

Choosing The Right Way To Staff A GraphQL Project

Model	Reliability	Communication	Best For
Freelance Marketplace	Variable, depends entirely on the individual	Often async, timezone dependent	Very small, one-off tasks
Traditional Agency	Consistent but slower to scale up or down	Layered through account managers	Large, fixed-scope projects
Dedicated Developer (Us)	Vetted, consistent, direct accountability	Direct with the developer and our team	Ongoing product roadmaps and rebuilds

How Hiring Works

From First Call To Onboarded Developer

1Discovery Call

2Developer Match

3Trial Task

4Onboarding

5Ongoing Delivery

Day 1

Discovery Call

We look at your schema, the resolvers and data sources behind it and the specific GraphQL skills you need.

Day 2 to 4

Developer Match

We shortlist developers whose real project history matches your stack and requirements.

Day 4 to 6

Trial Task

A small paid trial task on your actual codebase, so you see real working code before committing.

Week 1

Onboarding

Access, repo, staging and communication channels set up so the developer can start contributing immediately.

Ongoing

Delivery

Regular check-ins and progress updates, with the flexibility to scale the engagement up or down.

How Fast Can A Developer Start?

Most engagements begin within a week of the discovery call, sometimes sooner for urgent fixes.

AI And Our GraphQL Developers

AI Tooling That Helps Our Developers Ship Faster

Our GraphQL developers use AI tooling as part of the day-to-day workflow, not as a gimmick. AI-assisted coding scaffolds the repetitive parts, resolver boilerplate, typed clients from the schema and the first pass of a DataLoader, so more time goes into schema modelling and query performance. AI-assisted test generation drafts unit and integration tests around new types and resolvers before they ship. And AI-assisted code review catches the classic GraphQL pitfalls, from N+1 query patterns to over-broad fields and missing field-level auth, during pull requests rather than after release.

Explore our AI development services

AI-assisted GraphQL workflow

Scaffold resolvers and typed clientsCoding

Draft resolver and integration testsTesting

Flag N+1 patterns and missing field authReview

Tech Stack

The GraphQL Stack Our Developers Work In Daily

From the schema and server layer to the tooling that keeps a GraphQL API fast, typed and testable in production.

GraphQL
Apollo Server
Apollo Client
Node.js
TypeScript
Prisma
Hasura
Relay
PostgreSQL
MongoDB
Redis
Federation
GraphQL Code Generator
Jest

Why Raulji

A GraphQL Team That Owns The Outcome

You are not renting a resume. You get a developer backed by a team that can cover the rest of the product too, from the services behind the graph to the interface that consumes it.

Back End Under The Same Roof

A GraphQL layer is only as good as the services behind it. Our Node.js development team can build and maintain those services too.

Clients That Consume The Graph

Apollo Client and Relay live on the front end. Our ReactJS development team can wire the interface to your schema cleanly.

Integrations Where You Need Them

When the graph needs to reach outside systems, our API integration team can connect the third-party services behind it.

What The Work Looks Like

Three Typical GraphQL Engagements

To show how a developer actually slots into a GraphQL roadmap, here are three example scenarios that reflect the kind of work these engagements cover.

Please read these as illustrative examples, not client case studies. They describe representative GraphQL work rather than any specific customer, and the outcomes described are not measured results. Our published, verifiable client results are eCommerce projects, and you can read those in full on our case studies page.

Illustrative example
REST to GraphQL

A Product Sitting On A Sprawling REST Surface

The situation: a product has grown a wide REST surface over the years, dozens of endpoints, inconsistent shapes and clients that stitch together three or four calls to render a single screen. The team wants one well-designed GraphQL layer clients can query directly, without ripping out the services underneath.

How the engagement runs: a dedicated developer designs a schema that models the domain rather than mirroring the endpoints, then wires resolvers over the existing REST services behind it. The graph ships one area at a time, so clients can start moving queries across while the rest of the REST surface keeps serving traffic through the transition.

Illustrative example
Performance and N+1

A GraphQL API That Has Grown Slow Under Load

The situation: an existing GraphQL API returns the right data but does it slowly. Nested queries fan out into hundreds of database calls, over-fetching is common, and response times climb whenever a client asks for a deep query.

How the engagement runs: a developer traces the slow queries, then batches the repeated data access through DataLoader so a nested field resolves in one round trip instead of many. Hot reads move behind a caching layer, expensive fields get query cost limits, and tracing goes in so future regressions show up before they reach production.

Illustrative example
Schema federation

Several Services That Need One Federated Graph

The situation: different teams own different services, each with its own data, and there is no single place to query across them. Clients end up calling several APIs and joining the results by hand, which is slow to build and easy to get wrong.

How the engagement runs: a developer splits the schema into subgraphs each team can own, defines the entities they share, and composes them into one federated graph through a gateway. Clients get a single endpoint that reads across services, while each team keeps control of its own part of the schema.

Frequently Asked Questions

Common Questions About Hiring GraphQL Developers

How quickly can I hire a GraphQL developer from you?

For most engagements we can have a suitable GraphQL developer working on your project within a few days, and onboarding is usually complete inside a week. We match you to a developer whose experience fits your stack and schema rather than assigning whoever happens to be free.

What engagement models do you offer?

Three main ones: hourly for smaller or ad-hoc work, a dedicated developer who works with you full or part time as an extension of your team, and project-based for a defined piece of work with a fixed scope and price. We help you pick the model that fits your budget and workload.

What GraphQL skills do your developers have?

Our developers cover schema design, Apollo Server and Client, resolver architecture, schema federation, subscriptions for real-time data, DataLoader and N+1 fixes, query caching, REST to GraphQL migration, code generation and typed clients, and field-level authentication. We match the specific skills to what your project needs.

Can you migrate an existing REST API to GraphQL?

Yes. A common engagement is putting a single, well-designed GraphQL layer in front of a sprawling REST surface. We design the schema around how clients actually use the data, then bring endpoints across in stages so nothing breaks while the graph takes shape.

My GraphQL API is slow. Can you fix that?

Usually, yes. Slow GraphQL often comes down to over-fetching and N+1 queries where each field triggers its own database call. Our developers profile the real queries, add DataLoader batching, tune caching and reshape resolvers so the graph returns the same data with far less work.

Can you build a federated graph across multiple services?

Yes. When several teams or services each own part of the data, we can stitch them into one federated graph with clear ownership boundaries, so clients query a single endpoint while each service keeps control of its own part of the schema.

Can the same developer handle the front-end GraphQL client too?

In many cases, yes. Our GraphQL developers work comfortably with Apollo Client and typed code generation on the front end, and when the interface work grows we can add React developers from the same team.

How is hiring a developer from you different from a freelancer?

A freelancer is a single point of contact with no backup. With us you get a vetted developer plus a team behind them, so if the work grows to need Node.js, front end or API integration help, those people are already in-house and there is continuity if priorities change.

How do we get started?

Send us a short note about your API, your stack and the GraphQL work you need through the form on this page. We reply within one business day, set up a discovery call, and from there match you with a developer, usually within days.