What You’ll Be Doing Lead Internal Platform Engineering: Own the architecture, development, and scalability of platforms supporting operational workflows, expert lifecycle management, data collection, analytics, and business processes. Build Intelligent Systems: Integrate LLMs, AI agents, and automation into internal platforms to streamline workflows, reduce manual effort, and improve operational efficiency. Drive Platform Architecture: Design scalable APIs, distributed services, event-driven systems, and integrations connecting onboarding, assessments, subscriptions, data pipelines, and financial workflows. Own Quality Engineering: Lead QE strategy, automated testing frameworks, CI/CD quality gates, release validation, and production reliability across platforms. Advance Testing Automation: Implement AI-assisted testing, automated regression coverage, and evaluation frameworks for traditional and AI-powered applications. Stay Hands-On: Drive technical design, contribute to implementation, review code, troubleshoot production issues, and resolve complex engineering challenges. Improve Engineering Productivity: Introduce AI-assisted development workflows, developer tooling, and automation to accelerate delivery while maintaining engineering quality. Lead Engineering Teams: Mentor engineers, establish technical standards, drive execution, and foster a culture of ownership, experimentation, and accountability. Partner Cross-Functionally: Work with Product, AI/ML, Data, and Operations to translate business needs into scalable technical solutions. What We’re Looking For 10+ years of software engineering experience, including 4+ years in engineering leadership roles. Strong hands-on development expertise in Python, TypeScript, or similar languages, with recent experience building and debugging production systems. Deep experience in platform architecture, including distributed systems, microservices, APIs, event-driven architectures, and workflow orchestration. Practical experience with AI-powered systems, including LLM integrations, agentic workflows, RAG, and evaluation frameworks. Experience leveraging AI development tools and automation to improve engineering productivity and delivery. Strong Quality Engineering expertise, including automated testing, CI/CD pipelines, API and end-to-end testing, and production reliability. Cloud infrastructure proficiency with AWS, GCP, or Azure, Kubernetes, databases, observability, and DevOps practices. Experience building internal platforms supporting operational workflows, data pipelines, analytics, or complex business processes. Proven technical leadership, with the ability to mentor engineers, make architectural decisions, and deliver in fast-paced, ambiguous environments. Preferred Qualifications Experience in AI research labs, AI-native companies, or high-growth technology startups. Experience with human data platforms, including expert management, data annotation, human-in-the-loop workflows, data curation, and AI evaluation pipelines. Familiarity with LLM training and evaluation workflows, including human feedback, preference data, and model benchmarking. Experience with agent orchestration frameworks such as LangGraph, Temporal, or similar technologies. Experience building internal developer platforms, shared infrastructure, or self-service engineering tools. Familiarity with AI-assisted testing, automated test generation, and evaluation of nondeterministic systems.

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.