AI Full-Stack Engineer — Agentic AI & Automation

We are seeking an AI Full-Stack Engineer to design, develop, and maintain AI-powered applications, intelligent agents, and automation solutions. The ideal candidate has strong full-stack development expertise combined with hands-on experience in Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), prompt engineering, APIs, and workflow automation. This role involves collaborating with business teams to build scalable, production-ready AI solutions that enhance operational efficiency.

Key Responsibilities:

• Design, develop, and maintain AI agents and AI-powered business applications. • Build and maintain frontend interfaces, backend services, APIs, dashboards, and internal tools. • Integrate AI solutions with databases, documents, CRMs, emails, APIs, and enterprise systems. • Develop RAG-based applications, knowledge assistants, document intelligence, and workflow automation solutions. • Optimize AI performance through prompt engineering, testing, evaluation, monitoring, and feedback loops. • Convert AI prototypes into secure, scalable, and production-ready applications. • Analyze business processes and identify opportunities for AI-driven automation. • Document system architecture, workflows, technical designs, and user guides. • Ensure application security, authentication, role-based access control, and data privacy best practices.

Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field (or equivalent practical experience). • Strong experience in full-stack software development. • Proficiency in backend technologies such as Python, Node.js, Java, or similar. • Experience with frontend frameworks such as React, Angular, Vue.js, or Next.js. • Hands-on experience with REST APIs, databases, Git, Docker, and deployment workflows. • Practical knowledge of LLMs, AI agents, prompt engineering, RAG, embeddings, and vector databases. • Experience integrating third-party APIs and enterprise systems. • Understanding of cloud platforms (Azure, AWS, or GCP) and AI platforms such as OpenAI, Azure OpenAI, Anthropic, or Gemini is preferred. • Familiarity with AI frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or CrewAI is a plus. • Location: KARACHI ONLY.