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Job Description & How to Apply Below
The AI Engineer works under the Technical Lead AI, contributes to reusable components and best practices, and plays a key role in enabling junior team members and project teams.
Region:
Global – must be available for collaboration in IST and CEST/CET time zones.
Key Responsibilities:
AI Solution Development
Build, configure, and maintain Microsoft Copilot Studio Agents (low‑code + pro‑code extensions).
Implement AI features across Power Platform, Dynamics 365, and Dataverse.
Develop basic pro‑code components (C#, JavaScript/Type Script, or Python) when required.
Support experimentation with Microsoft Foundry, AI extensibility options, and new AI capabilities.
Hands‑On Implementation
Translate functional requirements into working AI components.
Debug issues, optimize agent behaviors, integrate APIs, and validate data flows.
Maintain internal templates, reusable components, and coding guidelines.
Team Support & Mentoring
Act as a first technical point of contact for trainees and junior AI Engineers.
Provide pair programming, Q&A support, and guidance under the supervision of the Technical Lead.
Support knowledge sharing through demos, notes, and internal learning sessions.
Project Collaboration & Delivery
Contribute AI components to project teams during active customer engagements.
Participate in sprint planning, task breakdown, and estimation.
Follow CI/CD workflows defined by the Technical Lead and Solution Architects.
Ensure solutions meet quality, security, and performance requirements.
R&D Participation
Research emerging AI capabilities, tools, and Microsoft ecosystem updates.
Document findings and share technical insights within the Technology Department.
Help evolve internal best practices, patterns, and architectural guidelines.
Required Qualifications
1.5+ years hands‑on experience with Copilot Studio (building and extending agents).
3+ years of experience in Power Platform, Dynamics 365, or Power Apps development.
Solid Dataverse knowledge.
Ability to build basic pro‑code extensions (C#, JS/TS, or Python).
Familiarity with Azure AI services, cognitive APIs, or Microsoft Foundry workflows.
Understanding of solution design, environments, and ALM basics.
Preferred (Nice‑to‑Have)
Experience with generative AI, RAG patterns, Azure OpenAI.
Exposure to R&D or experimental prototyping environments.
Experience contributing to reusable frameworks or internal libraries.
Role Expectations
Operate with a learning mindset; proactively explore new AI tooling.
Collaborate closely with the Technical Lead AI and wider R&D contributors.
Deliver reliable, well‑structured AI components that fit into larger enterprise solutions.
Communicate clearly and work effectively in a distributed global team.
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