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AI Full Stack Engineer

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Organization: Grand City

Location: Lahore / Kharian (Hybrid)

Employment Type: Full-Time

Department: Technology, Digital Transformation & Smart City Systems

Reports To: Head of Technology / Digital Transformation Office

Role Overview

Grand City is building a next-generation AI-driven real estate and smart-city ecosystem, integrating digital twins, ERP systems, investor dashboards, CRM, recovery operations, and predictive analytics.

We are seeking a high-ownership AI Full Stack Engineer who can design, build, deploy, and scale end-to-end AI-powered applications—from data ingestion and model development to front-end dashboards and production-grade backend systems.

This role sits at the intersection of AI engineering, full-stack development, and applied business intelligence, with direct exposure to leadership and real-world impact across real estate, finance, operations, and investor experience.

Key Responsibilities

AI & Machine Learning

  • Design, train, and deploy ML/AI models for:
  • Predictive analytics (sales, recovery, cash flows, demand forecasting)
  • Anomaly detection (payments, delays, operational inefficiencies)
  • NLP systems (chatbots, document intelligence, internal copilots)
  • Integrate LLMs (OpenAI / Azure OpenAI / open-source models) into business workflows.
  • Build data pipelines for model training, evaluation, and monitoring.

Backend Development

  • Develop scalable APIs using Python (FastAPI / Django) or Node.js.
  • Architect microservices and modular backend systems.
  • Integrate with ERP, CRM, payment gateways, and third-party services.
  • Implement authentication, authorization, logging, and monitoring.

Frontend Development

  • Build modern, responsive dashboards using React / Next.js / Tailwind.
  • Develop data-heavy interfaces (analytics dashboards, admin panels, investor portals).
  • Ensure performance, accessibility, and UX best practices.

Data & Infrastructure

  • Work with PostgreSQL, Supabase, MongoDB, Redis, and data warehouses.
  • Implement CI/CD pipelines and manage deployments on Azure / AWS.
  • Optimize cloud costs and system performance.
  • Ensure data security, compliance, and governance.

Product & Business Alignment

  • Collaborate with leadership to translate business problems into technical solutions.
  • Contribute to PRDs, system architecture documents, and technical roadmaps.
  • Support experimentation, rapid prototyping, and iterative delivery.

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or related field.
  • 3–6+ years of experience in full-stack development.
  • Strong proficiency in:
  • Python (ML, backend APIs)
  • JavaScript / TypeScript
  • React / Next.js
  • Hands-on experience with:
  • ML frameworks (PyTorch, TensorFlow, scikit-learn)
  • REST APIs & system integration
  • Solid understanding of:
  • Data structures, system design, and software architecture
  • Cloud infrastructure and deployment pipelines

Preferred / Nice-to-Have

  • Experience with digital twins, GIS, or smart-city platforms.
  • Familiarity with Power BI / Superset / custom analytics dashboards.
  • Exposure to real estate, fintech, ERP, or large-scale operational systems.
  • Experience with blockchain or asset tokenization (bonus, not mandatory).
  • Strong documentation and communication skills.

What We Offer

  • Opportunity to build AI systems that run real cities and real businesses.
  • Direct access to decision-makers and leadership.
  • Competitive salary with performance-based growth.
  • Long-term career path in AI leadership and architecture roles.
  • Work on national-scale, high-impact projects, not just experimental prototypes.

Why This Role Is Unique

Unlike conventional software roles, this position allows you to:

  • Work on production AI systems with real financial and operational impact.
  • Influence architecture and strategy, not just implementation.
  • Build platforms that integrate AI, real estate, finance, and smart infrastructure under one ecosystem.

Job Type: Full-time

Work Location: Hybrid remote in Lahore

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