AI Agent DevelopmentLinden Jensen-Page
I build end-to-end AI Agent applications that automate business processes, enhance decision-making, and streamline customer interactions. Leveraging advanced LLMs like OpenAI GPT-4o and Google Gemini, I develop intelligent chatbots, sales automation tools, and personalised knowledge bases. My solutions include secure cloud hosting, user-friendly interfaces, and seamless API integrations with CRMs (HubSpot, Pipedrive), document platforms (Google Docs, Notion, SharePoint), and workflow automation tools (n8n, Make.com, Langflow). With expertise in Retrieval-Augmented Generation (RAG), multi-agent workflows, and real-time data integration, I deliver scalable, business-ready AI Agents that improve efficiency, personalise customer engagement, and drive growth. Where required, I will also implement open source LLMs for enhanced data privacy and security on your private cloud provider of choice (GCP, AWS, Azure).
What's included
AI Agent Development
A fully operational, custom AI Agent designed for a specific use case, tailored to your business needs. The Agent will integrate seamlessly with your existing systems and leverage your internal data and documents to provide highly relevant, context-aware responses. Built using a low-code platform (n8n, Langflow, Make.com) or a custom framework such as Python/Langchain.
User interface development
A user-friendly web or chat interface for interacting with the AI Agent, designed for intuitive use by employees or customers. The interface can be embedded into your website, internal portal, CRM, or other business applications as needed.
Cloud hosting and deployment
Hosting and deployment of the AI Agent on a secure cloud infrastructure (e.g., Google Cloud Platform, AWS, Azure) with scalable architecture to handle usage demands. Includes configuration of API endpoints, security settings, and access controls.
Data integration and knowledge management
Seamless integration with your internal databases, CRMs, document repositories, and other business systems to provide the AI Agent with real-time, accurate information. Optional implementation of Retrieval-Augmented Generation (RAG) or embeddings for better contextual awareness depending on your needs.
End-to-end testing
Comprehensive testing with internal and external users to verify the AI Agent’s accuracy, consistency, and performance. This ensures that the solution meets your specific business requirements and is reliable in real-world scenarios.
Documentation
Clear, structured documentation covering the AI Agent’s functionality, system integrations, user interactions, API connections, and best practices for maximising value. Delivered in your preferred format (e.g., Notion, Google Docs, Confluence) for easy access and reference.
Training and support
Hands-on training for your team to ensure smooth adoption and optimal use of the AI Agent. This includes live training sessions, troubleshooting guidance, and best practices for ongoing usage. Post-launch support can also be provided for updates, monitoring, and improvements.
Example work
Starting at$100 /hr
Tags
LangChain
LangFlow
AI Agent Developer
AI Chatbot Developer
ML Engineer
Service provided by
Linden Jensen-Page proMelbourne VIC 3004, Australia
- 1
- Followers
AI Agent DevelopmentLinden Jensen-Page
Starting at$100 /hr
Tags
LangChain
LangFlow
AI Agent Developer
AI Chatbot Developer
ML Engineer
I build end-to-end AI Agent applications that automate business processes, enhance decision-making, and streamline customer interactions. Leveraging advanced LLMs like OpenAI GPT-4o and Google Gemini, I develop intelligent chatbots, sales automation tools, and personalised knowledge bases. My solutions include secure cloud hosting, user-friendly interfaces, and seamless API integrations with CRMs (HubSpot, Pipedrive), document platforms (Google Docs, Notion, SharePoint), and workflow automation tools (n8n, Make.com, Langflow). With expertise in Retrieval-Augmented Generation (RAG), multi-agent workflows, and real-time data integration, I deliver scalable, business-ready AI Agents that improve efficiency, personalise customer engagement, and drive growth. Where required, I will also implement open source LLMs for enhanced data privacy and security on your private cloud provider of choice (GCP, AWS, Azure).
What's included
AI Agent Development
A fully operational, custom AI Agent designed for a specific use case, tailored to your business needs. The Agent will integrate seamlessly with your existing systems and leverage your internal data and documents to provide highly relevant, context-aware responses. Built using a low-code platform (n8n, Langflow, Make.com) or a custom framework such as Python/Langchain.
User interface development
A user-friendly web or chat interface for interacting with the AI Agent, designed for intuitive use by employees or customers. The interface can be embedded into your website, internal portal, CRM, or other business applications as needed.
Cloud hosting and deployment
Hosting and deployment of the AI Agent on a secure cloud infrastructure (e.g., Google Cloud Platform, AWS, Azure) with scalable architecture to handle usage demands. Includes configuration of API endpoints, security settings, and access controls.
Data integration and knowledge management
Seamless integration with your internal databases, CRMs, document repositories, and other business systems to provide the AI Agent with real-time, accurate information. Optional implementation of Retrieval-Augmented Generation (RAG) or embeddings for better contextual awareness depending on your needs.
End-to-end testing
Comprehensive testing with internal and external users to verify the AI Agent’s accuracy, consistency, and performance. This ensures that the solution meets your specific business requirements and is reliable in real-world scenarios.
Documentation
Clear, structured documentation covering the AI Agent’s functionality, system integrations, user interactions, API connections, and best practices for maximising value. Delivered in your preferred format (e.g., Notion, Google Docs, Confluence) for easy access and reference.
Training and support
Hands-on training for your team to ensure smooth adoption and optimal use of the AI Agent. This includes live training sessions, troubleshooting guidance, and best practices for ongoing usage. Post-launch support can also be provided for updates, monitoring, and improvements.
Example work
$100 /hr