AI Engineer
Job description
An AI Engineer role at AnywhereNow building production-ready AI agents across the Microsoft ecosystem, including MCP-based integrations and enterprise system connections. The role sits in the Agent Factory team and takes solutions from concept through to production deployment.
At a glance
- Work mode
- Remote
What you'll do
- 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.
- 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.
- Connect agents with business-critical platforms including Microsoft Dynamics 365, Microsoft Graph, Dataverse, ServiceNow, Contact Centre and Customer Experience platforms, and internal and third-party APIs.
- 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.
- 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.
- 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.
- Work closely with QA teams on agent evaluation, testing and quality assurance.
What we're looking for
- 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.
- 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.
- 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.
- 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 systems thinker who understands how individual components contribute to larger platforms and architectures.
- Security-conscious and focused on building reliable enterprise-grade solutions.
- Excited by emerging AI technologies and eager to learn as the landscape evolves.
Nice to have
- Multi-agent architectures and agent-to-agent communication.
- Delivering AI solutions within enterprise or regulated environments.
- LLM observability, monitoring, tracing, and evaluation frameworks.
- Contact Centre, Customer Experience, or enterprise workflow automation platforms.
Your team
Agent Factory
Team developing agents that can securely access enterprise systems, interact with business tools, manage context and memory effectively, and operate reliably at scale.
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About AnywhereNow
A global leader in Enterprise Dialogue Management
AnywhereNow is a global leader in Enterprise Dialogue Management, supporting more than 2,000 organisations worldwide with approximately 240 employees spanning 22 countries. Its portfolio includes Dialogue Cloud, an enterprise dialogue management platform built for Microsoft Teams; Deepdesk, AI-powered Agent Assist technology; and Tendfor, a customer engagement and contact centre solution for Microsoft Teams environments.
Mission
To ensure every employee and customer feels heard, understood, and valued.
Key facts
- approximately 240 employees
- 2010
- Netherlands
- Enterprise Dialogue Management
- Team spans 22 countries
- Supports more than 2,000 organisations worldwide
- Portfolio includes Dialogue Cloud, Deepdesk and Tendfor
- Accelerating an AI-first strategy with investment in agentic solutions
Partners & customers
What they value
- Innovation
- Customer focus
- Accountability
- Continuous improvement