Our Bench

Our Talent. Your Competitive Advantage.

Every engineer has passed a 3-stage vetting process: technical screen, communication assessment, and startup culture fit.

AI Engineer

$4,500–$5,000/mo
LangChainGPT-4RAGPythonVector DBsPrompt Engineering

Production-grade LLM engineers who ship retrieval pipelines, agents, and evaluation harnesses. Comfortable from prototype to deployment.

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Software Developer

$3,000–$4,000/mo
ReactNode.jsTypeScriptPostgreSQLREST APIs

Full-stack engineers who own features end-to-end. Strong product sense, clean code, and modern web stack fluency.

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UI/UX Designer

$3,000–$3,500/mo
FigmaPrototypingDesign SystemsUser Research

Product designers who think in systems and ship pixel-tight interfaces. Comfortable collaborating with engineering in shared Figma files.

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AI Architect

$5,000–$6,500/mo
ML PipelinesMLOpsLLM Fine-tuningAzure AIKubernetes

Senior architects who design end-to-end AI systems: training, serving, monitoring, and cost controls. Cloud-native and production-hardened.

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Cloud/Infra Architect

$5,000–$6,000/mo
AWSAzureTerraformCI/CDDevOps

Infrastructure specialists who codify environments, harden security, and ship reliable CI/CD across multi-cloud setups.

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Azure/Dynamics Architect

$5,500–$7,000/mo
Dynamics 365Power PlatformAzureCRM/ERP Integration

Microsoft-stack experts for enterprise integrations. Deep Dynamics, Power Platform, and Azure delivery experience.

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Vetting Process

Only the Top 15% Make the Bench.

1

Technical Screen

Coding challenge, architecture review, and a stack-specific assessment scored by senior engineers.

2

Communication Assessment

Async writing test, spoken English evaluation, and confirmed timezone availability for US Eastern overlap.

3

Culture Fit Interview

Startup mindset, accountability, and a verifiable remote-work track record. References from prior US clients.

200,000+
Active IT professionals
$15–$30/hr
vs. $60–$150/hr US
50,000+
Annual IT graduates
9–10 hr
US Eastern overlap
$3.9B
IT exports in 2024

Why Pakistan delivers

English-medium engineering education, strong AI/ML programs at NUST, LUMS, FAST, and IBA, and a workforce that has spent the last decade serving US clients across fintech, SaaS, and AI verticals.

The talent pool is deep, English-fluent, and operationally aligned to US working norms — written communication, async standups, and accountability for outcomes.

  • 9–10 hour overlap with US Eastern Time
  • English as the language of instruction
  • Active community in AI, Azure, and cloud-native engineering
  • Government-backed IT export incentives

Request a Talent Brief

Tell us the role. We'll send a shortlist in 48 hours.