AI Engineer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Design, create, and deploy AI agents that address customer and business challenges.

• Develop agents that provide independent value and offer insights to a wider intelligence ecosystem.

• Convert product requirements and use cases into scalable, production-ready solutions.

• Construct and manage MCP servers to ensure secure access to tools, systems, and enterprise data.

• Define and implement interfaces for tools, authentication mechanisms, and patterns for resource access.

• Integrate agents with Dynamics 365, Microsoft Graph, Dataverse, ServiceNow, Contact Centre, Customer Experience platforms, and both internal and third-party APIs.

• Establish memory, context, and decision-making frameworks.

• Execute retrieval, reasoning, and tool-utilization strategies.

• Design safety guardrails for the operational use of enterprise agents.

• Develop adapters, event-processing capabilities, and integration layers.

• Enable agents to exchange insights and utilize intelligence from interconnected solutions.

• Provide technical expertise, customer insights, and market observations to shape the Agent Factory roadmap and backlog.

• Collaborate with Product, Engineering, QA, and AI leadership to meet standards of security, performance, governance, and business value.

• Identify customer challenges, emerging AI opportunities, and market trends.

• Support and uphold the company's information security standards.

⛳️ Requirements

• Strong background in software engineering with expertise in C# and .NET.

• Practical experience with Azure Functions, Azure App Service, Azure OpenAI Service, and Azure AI Foundry / AI Studio.

• Experience in integrating Dynamics 365, Dataverse, Microsoft Graph, and Power Platform.

• Familiarity with Microsoft Entra ID, Managed Identities, and Azure Key Vault.

• Hands-on experience in building or utilizing MCP servers.

• Knowledge of Semantic Kernel, AutoGen, and Microsoft AI SDKs.

• Experience with function and tool invocation, RAG, vector databases, and context and memory management.

• Capability to design clear, reliable, and secure interactions for agents.

• Extensive API integration experience, including REST APIs, webhooks, and event-driven architectures.

• Experience in cloud-native deployment, CI/CD pipelines, and infrastructure-as-code.

• Understanding of performance, latency, reliability, and cost factors for LLMs in production environments.

• Commitment to software quality, testing, and ongoing improvement.

• Ability to work closely with QA teams on agent evaluation, testing, and quality assurance.

• Pragmatic mindset for transitioning ideas from concept to production.

• Enthusiasm for applying AI to address real-world business challenges.

• Ability to work autonomously and collaborate with cross-functional teams.

• Systems-thinking approach to platforms and architectures.

• Security-focused approach to delivering reliable enterprise-grade solutions.

• Nice to have: experience with multi-agent architectures, agent-to-agent communication, AI delivery in enterprise or regulated environments, LLM observability/monitoring/tracing/evaluation, and platforms for Contact Centre/Customer Experience/workflow automation.

• All employees are required to comply with information security policies, safeguard company and customer data, use systems securely, report incidents, complete mandatory security and data protection training, and manage confidential information securely.

🏝️ Benefits

• Access to cutting-edge Microsoft AI technologies.

• Opportunity to make a direct impact on innovative agentic solutions.

• Chance to help shape the future of enterprise AI.

• Opportunity to develop scalable AI capabilities that deliver measurable value to customers.