AI Engineer

Founded in 2010 in the Netherlands, AnywhereNow is a global leader in Enterprise Dialogue Management, with a vision to ensure every employee and customer feels heard, understood, and valued. Today, our team of approximately 240 employees spans 22 countries, supporting more than 2,000 organisations worldwide. We partner with leading enterprises including Mazda , the UN International Organization for Migration , The Adecco Group , and the University of Cape Town to deliver exceptional customer and employee experiences through the power of Microsoft Teams and AI-driven innovation. Driven by our commitment to innovation, customer focus, accountability, and continuous improvement, we help organisations modernise communication and customer engagement across complex enterprise environments. Our portfolio includes: Dialogue Cloud – our enterprise dialogue management platform built for Microsoft Teams. Deepdesk – AI-powered Agent Assist technology that helps service teams work faster and smarter. Tendfor – a customer engagement and contact centre solution designed for Microsoft Teams environments. Together, these solutions enable organisations to create more intelligent, efficient, and personalised experiences for both customers and employees. As we continue to accelerate our AI-first strategy, we're investing heavily in the next generation of agentic solutions, creating exciting opportunities for engineers who want to help shape the future of enterprise AI.

About the Role

We're looking for an AI Engineer to help build the next generation of AI-powered enterprise solutions. This is a hands-on engineering role focused on designing, building, and scaling intelligent agents across the Microsoft ecosystem. You'll transform defined business use cases into production-ready agentic solutions, leveraging modern AI technologies, Azure services, and Model Context Protocol (MCP) architecture. As part of the Agent Factory team, you'll develop agents that can securely access enterprise systems, interact with business tools, manage context and memory effectively, and operate reliably at scale. You'll work closely with Product, Engineering, QA, and AI leadership to ensure every solution delivers real business value while meeting enterprise standards for security, performance, and governance. Beyond technical delivery, you'll bring product thinking and commercial awareness, helping to identify meaningful customer challenges, emerging AI opportunities, and relevant market trends. Your insights will contribute to shaping and refining the Agent Factory roadmap and backlog. This role is ideal for someone who enjoys building practical AI applications and can take solutions from concept through to production deployment.

What You'll Be Doing

Build and Deliver Intelligent Agents Design, build and deploy AI agents that solve real customer and business problems. Create agents that deliver value independently while contributing insights to a broader intelligence ecosystem. Translate product requirements and use cases into scalable, production-ready solutions. Develop MCP-Based Integrations Build and operate Model Context Protocol (MCP) servers that provide agents with secure access to tools, systems and enterprise data. Define and implement tool interfaces, authentication mechanisms and resource access patterns. Ensure agents can interact with enterprise services in a structured, secure and reliable way. Integrate Enterprise Systems Connect agents with business-critical platforms including: Microsoft Dynamics 365 Microsoft Graph Dataverse ServiceNow Contact Centre and Customer Experience platforms Internal and third-party APIs Design Context, Memory & Intelligence Define how agents manage memory, context and decision-making patterns. Implement retrieval, reasoning and tool-use strategies that promote consistent and predictable behaviour. Design guardrails that enable agents to operate safely and effectively within enterprise environments. Contribute to the Agent Ecosystem Develop supporting services including adapters, event processing capabilities and integration layers. Enable agents to share insights and consume intelligence from a wider ecosystem of interconnected solutions. Help shape future product direction by contributing technical expertise, customer insights and market observations.

What You'll Bring

Microsoft Technology Expertise Strong software engineering experience using C# and .NET . Hands-on experience with Azure services, including: Azure Functions Azure App Service Azure OpenAI Service Azure AI Foundry / AI Studio Experience integrating with Microsoft business platforms such as: Dynamics 365 Dataverse Microsoft Graph Power Platform Knowledge of Azure security and identity services, including: Microsoft Entra ID Managed Identities Azure Key Vault Agentic AI & MCP Experience Practical experience building or consuming MCP servers. Knowledge of agent frameworks and orchestration technologies such as: Semantic Kernel AutoGen Microsoft AI SDKs Experience with: Function and tool calling Retrieval-Augmented Generation (RAG) Vector databases Context and memory management Ability to design clear, reliable and secure agent interactions.# Broader Engineering Skills 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 when working with Large Language Models in production. Commitment to software quality, testing and continuous improvement. Ability to work closely with QA teams on agent evaluation, testing and quality assurance.

Who You Are

You'll be successful in this role if you are: A pragmatic builder who can take ideas from concept to production. Passionate about applying AI to solve real-world business challenges. Comfortable working independently while collaborating with cross-functional teams. A syste