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.

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.