AI-Powered Business Intelligence Platform

- Data validation, error handling, security and cost optimisation. Experience in B2B intelligence platforms, financial technology, corporate finance, investment research, lead generation or sales automation would be advantageous. What We Are Looking For: We are not simply looking for someone who can connect existing AI tools together. We need an experienced engineer who can assess our requirements, recommend the right technology stack, design a scalable architecture and implement reliable AI-powered workflows. You should have experience deploying production applications, not just developing demonstrations or proof-of-concept chatbots. We are open to different technologies and approaches, including custom development, existing AI frameworks and hybrid solutions. The selected engineer should be able to explain the advantages, limitations, costs and scalability of their proposed architecture. Project Phases Phase 1 – Technical Prototype (2–4 weeks) Build a working demonstration of automated company research, financing-signal identification, data verification and CRM integration using real UAE business data. Deliver a proposed system architecture, development roadmap and estimated ongoing operating costs. Phase 2 – Operational MVP (approximately 8–12 weeks, subject to successful prototype) Develop the prototype into a reliable, cloud-hosted application capable of conducting ongoing research, qualifying opportunities, maintaining CRM records and supporting approved outreach and basic lender matching. Phase 3 – Full Platform Development Expand the system across all six business functions, introduce advanced matching, relationship intelligence, additional workflows and improved automation. The longer-term development scope and budget will be agreed after validating the initial stages. Deliverables & Working Arrangements We expect: - A clear technical architecture and implementation plan. - Working, demonstrable software. - Documented source code and database structure. - Secure, appropriately authorised integrations. - Testing, error handling and monitoring. - Transparent reporting on development progress. - Clearly defined milestones and acceptance criteria. - Deployment documentation and handover. Development should take place in company-controlled repositories and infrastructure. Source-code ownership, intellectual property rights and access arrangements will be clearly defined contractually. We are comfortable working remotely and prefer regular progress updates with working demonstrations rather than lengthy status reports. Application Requirements Please provide: 1. Examples of AI-powered research, commercial intelligence, data engineering or business automation platforms you have personally developed and deployed. 2. Your recommended high-level technical approach and technology stack for this project. 3. Your experience with HubSpot, AI agents, external data APIs and cloud-based automation. 4. One major technical challenge you anticipate with this project and how you would address it. 5. What you could realistically deliver within a 2–4-week paid prototype. 6. Your estimated timeline, hourly rate and indicative budget for the prototype and subsequent MVP. Please clarify whether you would personally lead development or work with additional engineers. We value practical experience, clear communication and independently considered technical recommendations. We are particularly interested in candidates who can demonstrate similar systems they have built and explain the architecture behind them. A detailed project requirements document will be made available to shortlisted candidates. We are looking for a reliable, technically strong engineer who can help us develop this platform from initial prototype through to a scalable, production-ready system.