Roles & Responsibilities Key Responsibilities Design, develop, and deploy AI-powered applications leveraging Large Language Models (LLMs) such as GPT, Claude, Gemini, and LLaMA. Create, optimize, test, and evaluate prompts to improve model performance, accuracy, and user experience. Develop and maintain full-stack applications using Python for backend services and React.js for frontend development. Integrate AI models and APIs into business applications and workflows. Build scalable cloud-native solutions on AWS or GCP. Analyze AI-generated outputs and continuously refine prompts, workflows, and system behavior. Implement best practices for model orchestration, prompt management, and LLM evaluation. Collaborate with product, engineering, and business teams to translate requirements into AI-driven solutions. Participate in rapid prototyping, experimentation, and deployment of new AI use cases. Ensure application reliability, performance, security, and scalability. Prefeered candidate Strong Forward Deployed / Solutions Engineer Profile with AI/LLM Implementation focus Mandatory (Experience 1) – Must have 2+ years of total software development experience, with minimum 1 year hands-on on AI / GenAI / LLM-based projects Mandatory (Experience 2) – Must have built AI / LLM based based features (assistants, chatbots, copilots, or workflow automation) using OpenAI / Gemini / Claude / Llama or similar Mandatory (Experience 3) – Must have worked directly with external clients or end-users to gather requirements and translate business needs into technical solutions Mandatory (Skill 1) – Must have strong proficiency in Python with a backend framework (FastAPI / Flask / Django) and REST API development Mandatory (Skill 2) – Must have hands-on React experience with strong JavaScript, HTML & CSS, and frontend-to-backend integration Mandatory (Skill 3) – Must have hands-on Prompt Engineering, working knowledge of RAG, and experience with LLM orchestration frameworks (LangChain / LangGraph / LlamaIndex / CrewAI / AutoGen or equivalent) Mandatory (Skill 4) – Must have SQL and database design knowledge with sound software architecture fundamentals Preferred (Background) – Prior experience in solutions engineering, implementation consulting, technical consulting, or enterprise software integrations

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.