Hire a GraphQL Developer
Get a pre-vetted GraphQL expert for efficient API design, schema management, and data fetching — AI-managed delivery.
Role: GraphQL Developer (Backend)
GraphQL developers design and implement efficient API layers using GraphQL, enabling clients to request exactly the data they need. Our vetted talent handles schema design, resolver optimization, caching strategies, and federation for microservices.
Skills We Vet
- Schema Design & SDL: Expert
- Apollo Server/Client: Expert
- DataLoader & N+1 Prevention: Advanced
- Federation & Gateway: Advanced
Typical Projects
- GraphQL API Layer: Unified GraphQL API gateway aggregating multiple microservices and data sources. (60-140 hrs)
- Real-Time Subscriptions: GraphQL subscriptions for live data, notifications, and collaborative features. (40-80 hrs)
- API Migration: Migrate existing REST APIs to GraphQL with backward compatibility and incremental adoption. (80-160 hrs)
Hourly Rates
- AI PM: $2/hr — AI agent manages the project end-to-end with automated code reviews, testing, and deployment.
- Live PM: $3/hr — A human project manager coordinates your project with AI-augmented development workflows.
- Live PM + Dev: $5/hr — Dedicated human PM plus senior developer oversight for mission-critical projects.
Hiring Process
- Submit Your Requirements: Describe your project scope, technical needs, and timeline. Our AI analyzes your requirements and identifies the ideal skill profile.
- AI-Matched Talent Selection: Our platform matches you with pre-vetted developers whose expertise aligns with your tech stack, industry, and project complexity.
- Technical Vetting & Trial: Review candidate profiles, past work, and skill assessments. Start with a small paid trial task to validate the fit before committing.
- Kick-off & Ongoing Delivery: Once confirmed, your developer is onboarded immediately. Track progress via real-time dashboards, milestone reviews, and daily stand-ups.
Frequently Asked Questions
- When should I use GraphQL over REST?
- GraphQL excels when you have complex data requirements, multiple clients (web, mobile), or need to reduce over-fetching. REST may be simpler for basic CRUD APIs.
- Can they handle GraphQL at scale?
- Yes. Our developers implement caching (Apollo, persisted queries), DataLoader for N+1 prevention, and federation for distributed schemas.
- Do they work with Apollo or other frameworks?
- Our developers are proficient in Apollo Server/Client, Hasura, graphql-yoga, and other GraphQL implementations.