Pass live coding + system design
Two-stage technical interview: a 90-minute live coding exercise tailored to the candidate’s primary stack, then a system-design discussion grounded in real production scenarios.
Quantum Infoway
Skip the recruiting funnel. Pre-vetted developers and engineers fluent in AI-native workflows (Claude Code, agentic systems, RAG), across web, mobile, no-code, and cloud. Less than 1% of applicants make our team. $25–$50/hour all-in, with a 30-day replacement guarantee.
Same senior engineer seat, three hiring models — compared across time-to-start, rate, hidden costs, replacement, and IP ownership.
| Dimension | Hire Direct (FTE) | Freelance Platform | Quantum Infoway |
|---|---|---|---|
| Time to start From posting the requirement to engineer working | 8 to 12 weeks (you source, interview, offer, notice period) | 2 to 4 weeks (you post, vet, interview, contract) | Up to 2 weeks |
| Speed to assign From brief to engineer named for your team | 4 to 8 weeks (you source) | 24 to 72 hours shortlist (anonymous) | Same week from existing team |
| Quality consistency How predictable the engineer’s skill level is | You set the bar | Variable, marketplace-driven | Proven in-house team, same engineers across engagements |
| Communication and English How the engineer reads, writes, and runs meetings | Local language native | Variable, no minimum standard | C1 English minimum, screened in interview |
| Security and compliance NDAs and audit readiness | Your standards apply (you implement and audit) | Platform NDA, varies by freelancer | GDPR-aligned, company NDA + engineer confidentiality agreements |
| Replacement if not a fit How quickly we swap an engineer if the match is wrong | Months (re-recruit + re-onboard) | 1 to 2 weeks (re-hire from platform) | Within 30 days (replacement guarantee) |
| Base hourly rate The headline rate you see advertised | $115 to $160 per hour | $60 to $200 per hour | $25 to $50 per hour |
| Hidden costs and add-ons What gets added on top of the headline rate | Recruiter fee (15 to 30% of first-year salary), benefits, payroll tax, equipment, office and infra | Platform fees (5 to 10%), deposits, contract initiation fees, currency conversion spreads | None. The rate above is your final, all-in cost |
| IP and source code ownership | 100% yours | Depends on platform terms | 100% yours, signed in master agreement |
| Long-term commitment | Full-time only | Project-only, churn risk | Monthly invoicing, 3-month initial engagement, scale freely after |
| Time-zone matching | Limited to local market | Global lottery | 4 to 6 hours overlap with US and EU |
Every engineer goes through the same four-stage funnel. Most do not make it past stage two.
Around 15 open roles at any time, each receiving roughly 200 applications per month through LinkedIn, AngelList, employee referrals, and outbound headhunting across India. India produces 1.5 million CS graduates a year, so sourcing is not the moat. Filtering is. Most applications are auto-filtered for stack relevance, years of experience, English, and time-zone overlap before any human reviews them.
Two-stage technical interview: a 90-minute live coding exercise tailored to the candidate’s primary stack, then a system-design discussion grounded in real production scenarios.
We ask candidates to walk through a recent production project: architecture decisions, what they would change in hindsight. We also run a background verification check through a third-party BGV agency to confirm prior employment, education, and identity.
A senior Quantum Infoway engineer shadows new hires for two weeks on an internal project. We watch how they respond to feedback, ask for help, and ship code. Fast learners stay.
A dedicated team of engineers makes up the active Quantum Infoway bench across stacks at any given time. New roles open as engagements complete or grow.
From foundation models to RAG pipelines and analytics: engineers who ship production AI systems, not demos.
Production ML engineers: RAG, agents, fine-tuning, evals. Ship LLM systems that scale safely.
Explore →Statisticians and ML practitioners who turn raw data into decisions, dashboards, and predictive models.
Explore →OpenAI specialists building chatbots, copilots, and automations on GPT-4/o-series models.
Explore →Anthropic Claude specialists: agents, document workflows, and computer-use applications on Claude models.
Explore →LangChain and LangGraph engineers building multi-step AI workflows, RAG, and agentic systems.
Explore →Voice AI engineers building transcription, voice agents, and audio workflows on OpenAI Whisper.
Explore →Full-stack engineers fluent in the frameworks that ship today: from React and Next.js to Python, Laravel, and native mobile.
Interfaces at scale: React, TypeScript, design systems, and Playwright testing as standard.
Explore →Fast, SEO-ready Next.js apps: App Router, RSC, ISR, and edge functions for production performance.
Explore →Enterprise web applications on Angular: strong typing, RxJS, and component-driven architecture.
Explore →Backend APIs and microservices: Express, NestJS, Fastify. Type-safe TypeScript with observability built in.
Explore →Backend, AI, and data engineers: FastAPI, Django, Pandas, and AI/ML stacks. Production-grade Python at scale.
Explore →Reliable PHP applications on Laravel: queues, jobs, broadcasting, and Filament admin panels.
Explore →Enterprise-grade Java engineers: Spring Boot, microservices, Kafka, and JPA. Built for scale.
Explore →End-to-end engineers: frontend, backend, database, infra. One engineer, the whole product.
Explore →Cross-platform mobile and web apps from a single codebase: Dart, Riverpod, and pixel-perfect UI.
Explore →Native Android engineers: Kotlin, Jetpack Compose, Coroutines, and Material 3 design.
Explore →Native iOS engineers: Swift, SwiftUI, async/await, and App Store-ready performance and polish.
Explore →Stores that convert: Liquid, Hydrogen, custom themes, and Shopify Plus migrations.
Explore →Custom themes, plugins, headless setups, and WooCommerce: engineers who treat WordPress as code.
Explore →Modern backend on Supabase (Postgres, RLS, Edge Functions, and realtime), wired up cleanly.
Explore →Build production apps without traditional code: engineers fluent in the no-code stacks that move faster.
Sites that convert: pixel-perfect Webflow builds with CMS, animations, and SEO baked in.
Explore →No-code frontend on WeWeb: wired to Xano, Supabase, or any REST/GraphQL API for full-stack speed.
Explore →No-code backend on Xano: APIs, business logic, auth, and integrations without writing a server.
Explore →No-code full-stack on Bubble: internal tools, MVPs, and SaaS apps shipped in weeks.
Explore →Fast mobile apps on FlutterFlow: visual builder with Flutter under the hood, deployed to iOS and Android.
Explore →AI-native full-stack on Lovable: prompt-to-production apps with React, Vite, and Supabase wiring.
Explore →Infrastructure that scales, observability that catches issues before users do, and CI/CD that ships safely.
Scalable cloud engineers: ECS, Lambda, RDS, S3, and CloudFront. Cost-aware, secure by default.
Explore →Enterprise cloud on Azure: App Service, Functions, AKS, Cosmos DB. Identity, governance, and compliance.
Explore →Modern infrastructure on GCP: Cloud Run, BigQuery, Vertex AI, Firebase. AI-ready and analytics-ready.
Explore →Reliable infra: Terraform, Kubernetes, GitHub Actions, observability, and on-call setup. SRE practices, day one.
Explore →One published hourly band covers junior through senior. Tech leads and specialised AI/ML roles are quoted custom above the band.
1–3 years · solid fundamentals, pairs well
3–5 years · production-ready, owns features
5–8 years · system design, mentors juniors
8+ years · leads teams, sets architecture
One flat monthly rate per engineer. No setup fees, no recruiter markup, no surprises in month three.
Our office runs 9:00 am to 8:00 pm IST, and engineers flex within it to cover your shift. We hold at least 4 hours of real-time overlap with every client.
Engineers flex their hours to match your shift. Overlap with the US and UK/Europe lands on an Indian evening shift; the Gulf and Asia-Pacific on a daytime shift. In AI-native development, shared context is the bottleneck — so we protect real-time overlap on every engagement.
Sometimes you need outcomes, not bodies. Browse specialised services — managed project teams that deliver end-to-end.
See All ServicesWe hire builders who care about craft, ownership, and shipping real products. If that sounds like you, apply below — we read every application.
Share the role, stack, and timeline. We will respond within one business day with a proposed engineer match and next steps.
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