AnywhereNow
Pay not stated in the advert
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 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
While not essential, we'd be particularly interested in candidates with experience in:
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.
Why Join Us?
This is an opportunity to help shape the future of AI within a rapidly evolving product organisation. You'll work with cutting-edge Microsoft AI technologies, contribute directly to innovative agentic solutions, and play a key role in building scalable AI capabilities that deliver measurable value to customers. If you're passionate about building intelligent systems and want to be at the forefront of enterprise AI innovation, we'd love to hear from you.
Information Security Responsibilities
At AnywhereNow, information security is everyone's responsibility. All employees are expected to actively support and maintain the organisation's information security standards and contribute to protecting the confidentiality, integrity and availability of company and customer information.
This includes:
Adhering to all applicable information security policies, procedures and guidelines at all times.
Protecting company, customer and partner data from unauthorised access, disclosure, alteration or loss.
Using company systems, devices and networks in a secure and compliant manner.
Promptly reporting any suspected or actual security incidents, breaches or vulnerabilities to the appropriate team.
Completing mandatory information security and data protection training as required.
Ensuring that confidential information is handled and stored securely in accordance with company policies and applicable legal requirements.
Failure to comply with information security responsibilities may result in disciplinary action.
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