AI Product Engineer

Job not on LinkedIn

🕒 August 6

🇿🇦 South Africa – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 22%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ANYWHERE365®

WebsiteLinkedInAll Job Openings

201 - 500 employees

📡 Telecommunications

☁️ SaaS

🤖 Artificial Intelligence

Telecommunications • SaaS • Artificial Intelligence

ANYWHERE365® is a leading omnichannel Dialogue Management Solution and Virtual Contact Center for the Microsoft ecosystem. The company focuses on enhancing customer communications by providing scalable solutions for contact centers, including features such as call routing, AI capabilities, and cloud communications. Integrated with Microsoft Teams, ANYWHERE365® empowers every employee to participate in dialogues, optimizing productivity and enhancing customer experiences. With a focus on compliance and reporting, the company offers CRM integrations with tools like Microsoft Dynamics 365, Salesforce, and ServiceNow.

📋 Description

• Design, build, and deploy AI agents solving customer and business problems • Translate product requirements and use cases into scalable, production-ready solutions • Build and operate MCP servers providing secure access to tools, systems, and enterprise data • Define tool interfaces, authentication mechanisms, and resource access patterns • Integrate agents with Dynamics 365, Microsoft Graph, Dataverse, ServiceNow, contact centre and customer experience platforms, and internal and third-party APIs • Define memory, context, and decision-making patterns • Implement retrieval, reasoning, and tool-use strategies • Design guardrails for safe and effective enterprise operation • Develop adapters, event-processing capabilities, and integration layers • Enable agents to share insights across an interconnected solution ecosystem • Contribute technical expertise, customer insights, and market observations to the Agent Factory roadmap and backlog • Collaborate with Product, Engineering, QA, and AI leadership • Support information security policies, protect company and customer data, report security incidents, and complete required training

🎯 Requirements

• Strong software engineering experience using C# and .NET • Hands-on experience with Azure Functions, Azure App Service, Azure OpenAI Service, and Azure AI Foundry / AI Studio • Experience integrating Dynamics 365, Dataverse, Microsoft Graph, and Power Platform • Knowledge of Microsoft Entra ID, Managed Identities, and Azure Key Vault • Practical experience building or consuming MCP servers • Knowledge of Semantic Kernel, AutoGen, or Microsoft AI SDKs • Experience with function and tool calling, RAG, vector databases, and context and memory management • Strong API integration experience, including REST APIs, webhooks, and event-driven architectures • Experience with cloud-native deployment, CI/CD pipelines, and infrastructure-as-code • Understanding of performance, latency, reliability, and cost considerations for production LLMs • Commitment to software quality, testing, and continuous improvement • Ability to work with QA teams on agent evaluation, testing, and quality assurance • Ability to work independently and collaborate with cross-functional teams • Security-conscious approach to reliable enterprise-grade solutions

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