AI Product Engineer

🕒 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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AnywhereNow

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

AnywhereNow is a pioneering company that specializes in AI-driven omnichannel contact centers integrated with Microsoft Teams. Their flagship product, Dialogue Cloud, enhances customer interactions through advanced communication tools and capabilities, offering solutions like AI Assist, call routing, and dedicated platforms for various industries, including healthcare and professional services. Trusted by over 2000 global clients, AnywhereNow aims to revolutionize customer engagement and streamline processes for businesses.

📋 Description

• Design, build, and deploy AI agents that solve customer and business problems • Translate product requirements and use cases into scalable, production-ready solutions • Build and operate Model Context Protocol (MCP) servers • Define and implement tool interfaces, authentication mechanisms, and resource access patterns • Connect agents with Microsoft 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 and consume intelligence across interconnected solutions • Contribute technical expertise, customer insights, and market observations to the Agent Factory roadmap and backlog • Work with Product, Engineering, QA, and AI leadership to meet security, performance, and governance standards • Support information security by following policies, protecting data, securely using systems, reporting incidents, completing required training, and handling confidential information securely

🎯 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 with 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, Retrieval-Augmented Generation (RAG), vector databases, and context and memory management • Ability to design clear, reliable, and secure agent interactions • Strong API integration experience, including REST APIs, webhooks, and event-driven architectures • Experience with cloud-native deployment, CI/CD pipelines, and infrastructure-as-code approaches • Understanding of performance, latency, reliability, and cost considerations for production LLMs • Commitment to software quality, testing, and continuous improvement • Ability to work closely 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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