AI Product Engineer

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🔥 49 minutes ago

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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 real customer and business problems • Translate product requirements and use cases into scalable, production-ready solutions • Build and operate Model Context Protocol (MCP) servers providing secure access to tools, systems, and enterprise data • Define and implement tool interfaces, authentication mechanisms, and resource access patterns • Integrate agents with Microsoft Dynamics 365, Microsoft Graph, Dataverse, ServiceNow, contact centre and customer experience platforms, and internal or third-party APIs • Design memory, context, decision-making, retrieval, reasoning, tool-use strategies, and safety guardrails • 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 • Collaborate with Product, Engineering, QA, and AI leadership • Support enterprise standards for security, performance, governance, testing, and quality assurance • Support and maintain information security standards, protect company and customer data, use systems securely, report incidents, complete required training, and handle 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 Dynamics 365, Dataverse, Microsoft Graph, and Power Platform • Knowledge of Azure security and identity services, including 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 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 or enterprise workflow automation platforms

🏖️ Benefits

• Opportunity to help shape the future of AI within a rapidly evolving product organisation • Work with cutting-edge Microsoft AI technologies • Contribute directly to innovative agentic solutions • Play a key role in building scalable AI capabilities that deliver measurable value to customers