AI Engineer

The AI Engineer is a hands-on contributor responsible for building, extending, and delivering AI solutions at proMX. This role focuses on implementing Copilot Studio Agents (low‑code + pro‑code), integrating AI capabilities across Microsoft platforms, and supporting both R&D initiatives and customer projects.

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/TypeScript, 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.

Qualifications and Skills

Required Qualifications

• 1.5+ years hands‑on experience with Copilot Studio (building and extending agents).
• 5+ 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:

• 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.