Salesforce AI Engineer

• Help design, build and continuously improve the clients online platform.
  
  


• Research, suggest and implement new technology solutions following best practices/standards.
  
  


• Take responsibility for the resiliency and availability of different products.
  
  


• Be a productive member of the team.
  
  

Requirements

• Design, build, and enhance autonomous agentic capabilities and intelligent workflows.
  
  


• Develop agent-based solutions using Python and multi-agent frameworks, leveraging emerging protocols such as MCP (Model Context Protocol) and A2A (Agent-to-Agent).
  
  


• Develop, test, and optimize use cases across both single-agent and multi-agent architectures, including flex credit management.
  
  


• Support the systematic migration of solutions from single-agent to multi-agent architectures.
  
  


• Design and develop core agent assets, including topics, actions, and prompt templates.
  
  


• Build, optimize, and maintain high-performance data pipelines using Databricks and advanced SQL.
  
  


• Ensure seamless data integration across key business platforms, including Salesforce, Power BI, and Databricks.
  
  

Benefits

• A challenging, innovating environment.
  
  


• Opportunities for learning where needed.