Build Scalable HR AI Platform
Budget: £10 – £15 GBP
I have a strong conceptual idea for an AI-driven HR system that micro and small-to-medium businesses can adopt straight out of the box. The goal is to streamline day-to-day HR work—think recruitment, onboarding, performance reviews, payroll queries, policy questions, and everything in between—using machine learning, natural-language processing, and smart workflow automation.
Right now nothing exists beyond high-level vision, so the first milestone will be converting loose concepts into a clear product roadmap and technical architecture. From there we will move into an MVP that demonstrates core AI capabilities (predictive analytics, intelligent data capture, automated task routing, conversational self-service, etc.) while remaining cloud-agnostic for global deployment.
Key deliverables
• Product requirements document and user journey maps
• Scalable architecture diagram (preferred stack: Python, TensorFlow/PyTorch, React or similar, AWS or Azure)
• Working MVP with admin portal and at least one live HR workflow automated end-to-end
• Deployment and testing plan with measurable success criteria
The MVP will focus on:
• A Core Data Model capturing employee data, compensation and benefits.
• Absence allowances and days off tracking.
• Work patterns and work schedules tracking.
• Talent Recruitment processes integrated into the MVP scope.
• All accessed through Conversational AI for employee interaction.
I’m looking for someone comfortable shaping green-field SaaS products: data scientists who code, full-stack engineers who understand HR, or small teams who combine both skill sets. If you’ve built AI features such as resume ranking engines, performance-prediction models, chatbots, or robotic process automation tools, I’d love to see those examples.
Let me know how you’d break the project into phases and which tools you believe will deliver the quickest path to a market-ready product.
Right now nothing exists beyond high-level vision, so the first milestone will be converting loose concepts into a clear product roadmap and technical architecture. From there we will move into an MVP that demonstrates core AI capabilities (predictive analytics, intelligent data capture, automated task routing, conversational self-service, etc.) while remaining cloud-agnostic for global deployment.
Key deliverables
• Product requirements document and user journey maps
• Scalable architecture diagram (preferred stack: Python, TensorFlow/PyTorch, React or similar, AWS or Azure)
• Working MVP with admin portal and at least one live HR workflow automated end-to-end
• Deployment and testing plan with measurable success criteria
The MVP will focus on:
• A Core Data Model capturing employee data, compensation and benefits.
• Absence allowances and days off tracking.
• Work patterns and work schedules tracking.
• Talent Recruitment processes integrated into the MVP scope.
• All accessed through Conversational AI for employee interaction.
I’m looking for someone comfortable shaping green-field SaaS products: data scientists who code, full-stack engineers who understand HR, or small teams who combine both skill sets. If you’ve built AI features such as resume ranking engines, performance-prediction models, chatbots, or robotic process automation tools, I’d love to see those examples.
Let me know how you’d break the project into phases and which tools you believe will deliver the quickest path to a market-ready product.