> Djinni
AI Engineer
format:Remote
azure ai foundryazureai agentsdesign patternsprompt engineeringdlpaccessibility
> full description
Experience: 6+ years
Project Duration: November 1, 2026 – November 30, 2027
Location: Remote from Poland
About the Project
We are looking for an AI Agent Developer to design, build, test, and deploy production AI agents using Microsoft technologies. The role combines hands-on agent development with architecture, security, governance, integration, and stakeholder collaboration.
Responsibilities
- Build, test, and deploy production AI agents using Copilot Studio.
- Develop agents within the Azure AI Foundry ecosystem.
- Design agent architectures and apply appropriate design patterns.
- Develop reliable prompts and select suitable tools and connectors.
- Integrate AI agents with the systems required for specific use cases.
- Perform functional, security, and compliance testing of AI agents.
- Work across development, test, and production environments and follow appropriate release practices.
- Assess business use cases and determine whether an AI agent is a suitable solution.
- Analyze agent failures and identify the reasons for incorrect behavior.
- Identify reusable approaches and contribute to a library of design patterns.
- Work closely with business owners and support handover and knowledge transfer.
- Maintain clear documentation and ensure operational readiness.
- Consider long-term maintainability, platform evolution, and future replacement of solutions.
- Build solutions within established security, governance, and compliance frameworks.
Requirements
- 6+ years of professional experience.
- Hands-on experience with Copilot Studio.
- Experience with Azure AI Foundry.
- Strong understanding of AI agent architecture and design patterns.
- Strong prompt engineering skills.
- Understanding of connectors, permissions, and knowledge-source governance.
- Experience testing AI agents, including security and compliance testing.
- Understanding of DLP, prompt injection risks, and access control.
- Experience working across development, testing, and production environments.
- Experience integrating AI agents with external systems.
- Strong analytical skills, including use-case evaluation and failure analysis.
- Ability to identify and develop reusable solutions.
- Experience working within governance and security frameworks.
- Strong stakeholder management and business-facing communication skills.
- Good documentation and knowledge-transfer skills.
- Understanding of operational readiness and support models.
- Awareness of long-term maintainability and platform evolution.
Tech Stack
- Copilot Studio
- Microsoft Azure
- Azure AI Foundry
- AI Agent Architecture
- Design Patterns
- Prompt Engineering
- Integrations
- Security & Compliance