AI Engineer

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AnywhereNow

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

AnywhereNow is a pioneering company that specializes in AI-driven omnichannel contact centers integrated with Microsoft Teams. Their flagship product, Dialogue Cloud, enhances customer interactions through advanced communication tools and capabilities, offering solutions like AI Assist, call routing, and dedicated platforms for various industries, including healthcare and professional services. Trusted by over 2000 global clients, AnywhereNow aims to revolutionize customer engagement and streamline processes for businesses.

📋 Description

• Design, build, and deploy AI agents that solve customer and business problems • Translate product requirements and use cases into scalable, production-ready solutions • Build and operate MCP servers providing secure access to tools, systems, and enterprise data • Define tool interfaces, authentication mechanisms, and resource access patterns • Integrate agents with Microsoft Dynamics 365, Microsoft Graph, Dataverse, ServiceNow, contact centre/customer experience platforms, and internal or third-party APIs • Define memory, context, decision-making, retrieval, reasoning, and tool-use strategies • Design guardrails for safe and effective enterprise agent operation • Develop adapters, event-processing capabilities, and integration layers • Enable agents to share insights across an interconnected intelligence ecosystem • Collaborate with Product, Engineering, QA, and AI leadership • Contribute technical expertise, customer insights, and market observations to the Agent Factory roadmap and backlog • Support information security by following policies, protecting data, securely using systems, reporting incidents, completing required training, and handling confidential information securely

🎯 Requirements

• Strong software engineering experience using C# and .NET • Hands-on experience with Azure services, including Azure Functions, Azure App Service, Azure OpenAI Service, and Azure AI Foundry / AI Studio • Experience integrating with Dynamics 365, Dataverse, Microsoft Graph, or Power Platform • Knowledge of Azure security and identity services, including Microsoft Entra ID, Managed Identities, and Azure Key Vault • Practical experience building or consuming MCP servers • Knowledge of Semantic Kernel, AutoGen, or Microsoft AI SDKs • Experience with function and tool calling, RAG, vector databases, and context and memory management • 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 for production LLMs • Commitment to software quality, testing, and continuous improvement • Ability to work closely with QA teams on agent evaluation, testing, and quality assurance • Experience with multi-agent architectures, regulated environments, LLM observability, contact centre/customer experience platforms, or enterprise workflow automation is nice to have

🏖️ Benefits

• No specific benefits, perks, or compensation extras are stated in the posting

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