AI & Agent Engineering
AI & Agent Engineering
Professional Agentic Business Development Consultancy
Choose from chosen AI Project & Role,
Pay only hours you need,
Planning and execution of the chosen implementation Project
Azure AI Project
Google AI Project
Custom AI Project
Choose Role for the product category:
AI Product Manager / Product Owner
Why it is Great: This role is critical for ensuring that the AI solution—whether it's an Azure AI Foundry project, a Google AI Studio solution, or a Custom AI Agent—aligns with business goals and delivers measurable value. They define the product vision, prioritize the features, manage the backlog, and act as the voice of the customer.
AI Solution Architect
Why it is Great: This role designs the high-level system structure, choosing the right components (e.g., selecting specific Azure AI Services, integrating Google AI Studio's tools, or outlining the structure of a Custom Agent). They ensure the solution is scalable, secure, and technically feasible across any of the platforms.
AI/ML Engineer
Why it Great: This is the core technical execution role. They are responsible for the hands-on development, implementation, deployment (MLOps), and maintenance of the AI models and associated software components for all three project types. They transform the Architect's design into a working system and bring the Product Manager's vision to life.
The client work can be done remotely or on-site.
Product includes 0,9998 hours of consultancy.
How to Buy
Select the Project
Select the Role
Select how many hours paid in advance (resource allocation)
Fill in the Project Form about the Project (basic)
Pay Securely
Project is scheduled to be delivered as stated in the Project Form.
