[Hiring] AI Engineer @Iconma Portal

Role Description

Our client, a Communications company, is looking for an AI Engineer for their Remote location.

• Design, build and run the agents that automate work across digital commerce and transformation programs.
• The work is built primarily on Microsoft's AI platform, spanning Azure AI Foundry, Azure Open AI, Microsoft Copilot Studio and the Microsoft 365 and Teams surfaces.
• This is a production engineering role rather than a prototyping one.
• Agents built are expected to clear the client Agentic Framework bar before they reach users:
• Registered in the Agent Registry
• Authenticated through Microsoft Entra
• Authorized under least-privilege RBAC
• Instrumented for observability
• Certified through evaluation testing
• Own that path end to end, from the first system prompt and tool schema through deployment, monitoring and iteration.
• Work alongside program managers, data engineers, BI developers, solution architects, and security partners.
• Spend as much time defining what good looks like as writing code.

Qualifications

• Microsoft certification such as Azure AI Engineer Associate (AI-102) or an Azure architecture credential.
• Experience with Power Platform, including Power Automate and Data verse, or with Microsoft Fabric and Power BI.
• Telecommunications, order management, billing or business-to-business commerce domain experience.
• Contributions to agent platform tooling, registries, evaluation frameworks or internal developer experience.
• Bachelor's degree in computer science, software engineering, data science or a related technical field, or equivalent hands-on experience.
• Four or more years of software engineering experience, including at least one year building LLM-based or agent-based applications that reached production users.
• Strong Python skills, with C# or TypeScript an advantage, and fluency with asynchronous APIs, REST and GraphQL, JSON schemas and Git-based workflows.
• Hands-on experience with Microsoft AI services, including Azure AI Foundry or Azure Open AI, Azure AI Search, and at least one of Copilot Studio, Semantic Kernel or the Microsoft Agent Framework.
• Practical retrieval-augmented generation experience covering chunking strategy, embeddings, vector search, reranking and retrieval evaluation.
• Working knowledge of Model Context Protocol or comparable tool-calling and function-calling patterns, including schema design and versioning.
• Demonstrated skill in prompt and context engineering, including system prompts, few-shot design and model-specific behavior.
• Experience evaluating LLM systems with offline and online methods, regression suites and human review loops, and a clear point of view on what is worth measuring.
• Familiarity with Microsoft Entra ID, OAuth2 and JWT, role-based access control and API gateway patterns.
• Experience with CI/CD, containers, infrastructure as code and observability tooling such as Azure Monitor, Application Insights and Open Telemetry.
• Clear written communication, including the ability to explain agent behavior, limits and failure modes to partners who are not engineers.
• Sound judgment about where an agent is the right answer, and the willingness to say plainly when it is not.

Benefits

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities