About this role
Developing conversational workflows, routing logic, and system orchestration forms the core of daily operations in this remote position. Team members construct intelligent agents utilizing Azure AI Foundry and Copilot Studio, alongside Python frameworks, to deliver enterprise-grade automation solutions. Professionals collaborate directly with business users to validate rapid prototypes, integrate APIs, and implement retrieval-augmented generation pipelines.
This function exists to scale the organization's generative AI capabilities while maintaining strict standards for output quality, latency, reliability, and cost. Successful candidates bring a strong background in software engineering and hands-on experience deploying secure, testable applications in cloud environments.
What you will do
- Construct autonomous agents using Azure AI Foundry, Copilot Studio, and Python-based frameworks.
- Rapidly build and validate functional prototypes alongside business stakeholders.
- Design and implement system prompts, routing mechanisms, and orchestration workflows.
- Incorporate grounding, citation management, context retrieval, guardrails, and human review patterns.
- Connect agents directly with enterprise tools and external APIs.
- Establish automated evaluation pipelines to optimize answer quality, latency, reliability, cost, and observability.
- Provide ongoing support for production monitoring, troubleshooting, and continuous improvement loops.
What you need
- Hold a Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
- Demonstrate professional software development experience.
- Bring practical background in building generative AI, assistant, or agent-driven applications.
- Possess strong Python programming skills with expertise in integrating cloud services and REST APIs.
- Show proven capability in deploying secure and testable enterprise applications.
Nice to have
- Experience with Azure AI Foundry and Copilot Studio
- Familiarity with Semantic Kernel, MCP, multi-agent systems, or comparable orchestration frameworks
- Background implementing RAG, evaluation pipelines, citations, and tool-use controls
- Azure AI Engineer or related certification
Skills and tech stack
Questions candidates ask
What is the work mode for this position?
The role operates on a remote basis located in Brazil.
What core technologies will be used on the team?
Engineers work with Azure AI Foundry, Azure OpenAI, Copilot Studio, Python, Semantic Kernel, and MCP.
What are the primary duties regarding agent development?
Team members build agents, develop prompts and routing workflows, implement RAG and guardrails, and create automated evaluations for quality and cost optimization.