HR & Hiring Platforms
Experienced engineers for HR & hiring platforms
We design and build recruitment platforms, ATS systems, and AI-powered hiring tools that help companies manage candidates, automate screening, and streamline the entire hiring process — from CV parsing to AI interviewing.
How we design and engineer hiring platforms
key principle
01Candidate-first user experience
Hiring platforms must serve both recruiters and candidates. We design intuitive interfaces that make applications, interview scheduling, and candidate management simple and efficient.
key principle
02Automation-driven recruitment workflows
Manual hiring slows recruitment teams down. We build automation systems that handle screening, scheduling, and candidate evaluation — and we go further with agentic platforms like Atlast.
key principle
03Cost-optimized LLM orchestration
Running multiple LLM providers in parallel for cost optimization, like the OpenAI + Gemini + Claude pipeline on Callan Hawkins, keeps AI features economical at scale.
key principle
04Data-driven hiring insights
Analytics dashboards that help HR teams track hiring metrics, session-level interview data, and pipeline health.
Hiring platforms we have shipped to production
An enterprise recruitment CRM + ATS running three LLMs in parallel, an agentic AI hiring platform with specialized agents per stage, and an AI interview platform with real-time guidance — all in production.
Callan Hawkins
An enterprise CRM + ATS for a recruitment consultancy. AI-powered CV parsing runs OpenAI, Gemini, and Claude in parallel for cost optimization. Dynamic RBAC, client / job / candidate management, document versioning, and secure REST APIs across the entire hiring pipeline.
OpenAI + Gemini + Claude parallel parsing for cost optimization
Dynamic RBAC across client, job, and candidate entities
Document versioning with audit trails
Secure REST APIs for downstream integration
Atlast
An agentic platform with conversational AI agents that handle CV parsing, candidate screening, interviewing, shortlisting, and scheduling — each stage owned by a specialized agent rather than a fragile sequential script.
Specialized agents per recruitment stage
Conversational interview and screening flows
OpenAI + AWS + Zapier integration layer
Scalable to high-volume recruiting pipelines
MockWise
An AI interview agent simulating real, time-bound coding interviews with real-time guidance across Python, JavaScript, Java, and C++. Personalized feedback, session tracking with analytics, paid-tier upgrades, and a recruiter dashboard. Re-architected from MERN monolith to microservices.
Real-time AI interview guidance across multiple languages
Session tracking with per-candidate analytics
Paid-tier upgrades and recruiter dashboard
Microservices architecture after monolith re-platform
You work with experienced systems engineers and product architects
Building recruitment platforms requires deep understanding of HR workflows, candidate pipelines, and AI orchestration. Our engineers combine product strategy, LLM cost optimization, and scalable backend architecture to create platforms that help organizations hire faster and smarter.
Hiring platforms we can build together
Applicant Tracking Systems
Platforms that help recruitment teams manage candidates, applications, and hiring pipelines — modeled on Callan Hawkins.
Agentic AI Hiring Platforms
Specialized AI agents per recruitment stage — CV parsing, screening, interviewing, scheduling — like Atlast.
AI Interview Platforms
Automated interview tools simulating technical assessments with real-time guidance and feedback — like MockWise.
Turning projects into long-term partnerships
We build lasting relationships through reliable delivery and continuous improvement.
Our partners find numerous reasons to love us
Ready to build your hiring platform?
Book a free consultation to get clarity, direction, and expert advice you can implement right away.
