AI Engineer

About the role

We are looking for a hands-on AI Engineer with 3–4 years of experience building and deploying AI solutions, ideally for marketing teams. You will develop multi-agent workflows that help teams improve market intelligence, content creation, personalisation, campaign execution and performance analysis.
This is a practical engineering role spanning solution design, development and deployment. You will work closely with clients, consultants and other engineers to turn business workflows into reliable AI solutions.

What You'll Do
Design and build multi-agent solutions for marketing use cases
Develop agents that combine enterprise data, external signals and business context
Build workflow orchestration, tool integrations, APIs and retrieval pipelines
Deploy solutions within clients’ Microsoft environments
Establish evaluation, monitoring and human-review mechanisms
Translate marketing requirements into clear technical designs
Participate in client discussions, demonstrations and solution workshops

What We're Looking For
3-4 years of software, data or AI engineering experience
Experience building production-grade generative AI or agentic applications
Good understanding of models, APIs and MCPs
Hands-on experience with multi-agent orchestration, RAG, LLM APIs and structured outputs
Understanding of marketing workflows such as content, campaigns, customer intelligence, personalization or analytics
Strong Python skills and experience working with APIs and cloud services
Familiarity with evaluation, observability, security and responsible AI practices
Strong problem-solving and communication skills

Preferred Experience
Microsoft Copilot Studio, Azure AI Foundry/Studio and Azure OpenAI
Power Platform, Microsoft Fabric, SharePoint or Dynamics 365
Building AI solutions within enterprise environments
Working directly with marketing or commercial teams