Hiring for client The Opportunity You will: Own architecture and core technical decisions from day one Lead the AI layer and data workflows Work closely with an external development partner, while remaining the final authority on tech Shape the product, roadmap, and trade-offs alongside the founders This is a role for someone who wants real ownership, not just tickets and sprints.What You’ll DoArchitecture & System Design Design the overall system architecture (backend, data, AI, web/mobile integrations) Choose the tech stack, infrastructure, and cloud setup Design for scale: POC → multi-city rollout → nationwide usage Ensure reliability, security, and performance from day one AI & Data Workflows Design how we use LLMs / agents / retrieval systems to summarise signals from the field Convert raw inputs into prioritised tasks, alerts, insights, and decision briefs Define evaluation, monitoring, and feedback loops so the AI layer is useful, not gimmicky Own model architecture choices, prompting strategies, and data pipelines Owning Tech While Working with a Vendor Review and shape SOWs, estimates, and technical designs Do key architecture and code reviews Push engineering standards: testing, observability, scalability, documentation Act as the technical gatekeeper between founders and the external team Product & Roadmap Ownership Translate messy, real-world problems into clean product and technical requirements Help prioritise v1 vs v2 vs “not now” Co-own the 12–24 month technology roadmap with the founders Building the Internal Tech Spine Gradually build a small, high-quality internal engineering team Help hire and mentor early engineers Move from a vendor-heavy setup to a balanced internal + external model, with you leading the org What We’re Looking ForMust-Haves Tier-1 engineering mindset and background Strong preference for IIT / top-tier institute / equivalent proven track record 4–10 years of experience building and shipping real products Strong backend and system design skills (language flexible: Node / Java / Go / Python, etc.) Comfortable with APIs, databases, caching, queues, web & mobile architectures Hands-on experience with LLMs / GenAI in production-like systems or serious prototypes Ability to work closely with non-engineers, clearly explain trade-offs, and confidently say “no” when needed Nice-to-Haves Experience building complex workflows, CRMs, internal tools, or ops platforms Time spent at a fast-moving startup or strong product company You’ve owned something end-to-end (startup, side project, OSS, or a critical internal system)

About Quickhyre AI

QuickHyre AI is an online job portal and HRMS software platform for hiring and workforce management, trusted by over 10 million active users. It connects freshers and experienced professionals across all career levels with verified job opportunities, while enabling companies to hire, onboard, and manage employees through a single system. Candidates use QuickHyre AI to search and apply for jobs across entry-level, mid-level, and senior roles, including internships and contract positions across tech and non-tech domains. Employers use QuickHyre AI as a hiring platform, applicant tracking system (ATS), and HRMS to post jobs, screen candidates, manage applications, onboard hires, and maintain employee records. Built for startups, growing companies, and enterprises, QuickHyre AI reduces irrelevant applications, improves hiring efficiency, and simplifies HR operations. By combining job discovery, online recruitment, and HR management software, QuickHyre AI supports end-to-end talent acquisition and workforce administration at scale.