AI Product Engineer

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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 Model Context Protocol (MCP) servers • Define tool interfaces, authentication mechanisms, and resource access patterns • Integrate agents with Dynamics 365, Microsoft Graph, Dataverse, ServiceNow, contact centre/customer experience platforms, and APIs • Design memory, context, reasoning, retrieval, tool-use strategies, and guardrails • Develop adapters, event processing capabilities, and integration layers • Collaborate with Product, Engineering, QA, and AI leadership • Contribute technical expertise, customer insights, and market observations to the Agent Factory roadmap and backlog • Support information security, data protection, testing, evaluation, and quality assurance responsibilities

🎯 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, and Microsoft AI SDKs • Experience with function and tool calling, RAG, vector databases, and context/memory management • Ability to design clear, reliable, and secure agent interactions • Strong API integration experience with REST APIs, webhooks, and event-driven architectures • Experience with cloud-native deployment, CI/CD pipelines, and infrastructure-as-code • Understanding of LLM performance, latency, reliability, and cost considerations in production • 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 • Nice to have: multi-agent architectures, regulated-environment AI solutions, LLM observability/monitoring/tracing/evaluation, and contact centre/customer experience/workflow automation platforms

🏖️ Benefits

• Opportunity to work with cutting-edge Microsoft AI technologies • Contribute directly to innovative agentic solutions • Play a key role in building scalable AI capabilities • Information security and data protection training