Hiring for client We are looking for a Senior AI Engineer to build and scale AI-native features using LLMs, RAG pipelines, and GenAI frameworks. You will work on real-world enterprise use cases involving large datasets and production-grade AI systems. Key Responsibilities Design and implement LLM-based solutions using LangChain, RAG, and vector databases Build prompt engineering strategies and evaluation pipelines Integrate LLMs with backend services and enterprise workflows Optimize performance, cost, and accuracy of AI models in production Collaborate with backend, data, and frontend teams Required Skills Strong experience with LLMs, LangChain, RAG, GenAI Hands-on with vector databases (Pinecone, FAISS, Weaviate, etc.) Python proficiency and API integration experience Experience deploying AI solutions to production Experience: 5–8 years (hands-on AI/ML engineering) Good to Have Experience with cloud AI services Knowledge of model fine-tuning and embeddings

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.