Agentic ai engineer

Job Description

Red Ember Recruitment is recruiting an experienced Agentic AI Engineer for our client. This is an exciting opportunity for a highly skilled AI professional to lead the design, implementation, and integration of cutting‑edge AI solutions that drive business transformation.

The successful candidate will play a key role in embedding Artificial Intelligence into business operations by developing AI agents, intelligent workflows, automation solutions, and enterprise integrations that improve productivity, enhance decision‑making, and create measurable commercial value.

AI Enablement Identify and implement high‑impact AI use cases across the business. Drive AI adoption and embed AI into day‑to‑day business operations. Support the roll‑out and optimisation of AI platforms and tools. Facilitate AI training sessions and user adoption initiatives. AI Agent Development Design, build, and deploy AI agents and autonomous workflows. Develop intelligent assistants using Large Language Models (LLMs). Create multi‑agent workflows to automate complex business processes. Monitor, optimise, and maintain AI agent performance. AI Solution Architecture Design scalable AI solutions aligned with business requirements. Develop secure API integrations and micro services. Build production‑ready AI applications and proof‑of‑concept solutions. Ensure solutions follow best practices for scalability, security, and maintainability. Process Optimisation & Automation Analyse business processes and identify automation opportunities. Improve workflows through AI‑driven automation. Measure business improvements and operational efficiencies. Knowledge & Data Solutions Develop AI‑powered knowledge management systems. Implement Retrieval‑Augmented Generation (RAG) solutions. Improve access to organisational knowledge and documentation. Commercial Intelligence Develop AI‑driven sales and customer insights. Support predictive analytics, forecasting, and lead scoring. Integrate AI into CRM and commercial workflows. Governance & Responsible AI Ensure compliance with data privacy and AI governance standards. Maintain AI documentation and governance records. Promote responsible and ethical AI implementation. Requirements Qualifications Bachelor's Degree in: Computer Science. Artificial Intelligence. Software Engineering. Information Systems. Data Engineering. Analytics. Experience Minimum 5 years' experience in: Artificial Intelligence. Software Engineering. Automation. Systems Integration. Data Engineering. Enterprise Technology. Proven experience implementing AI solutions in a commercial environment. Experience integrating enterprise systems using APIs and micro services. Ability to translate business requirements into scalable technical solutions. Technical Skills Programming Languages Python C# Type Script SQL AI Technologies Microsoft Copilot & Copilot Studio. Azure AI / Azure Open AI. Open AI APIs. Claude AI. Prompt Engineering. Retrieval‑Augmented Generation (RAG) AI Agents & Agentic Workflows. Large Language Models (LLMs) Development & Integration REST APIs. Micro services. Git. Database Design. System Architecture. Data Modelling. Experience working with: Microsoft 365. Microsoft Graph API. Power Platform. CRM systems. ERP systems. Net Suite. Workflow Automation Platforms. Business Intelligence Platforms. Lang Chain. Semantic Kernel. Predictive Analytics. Digital Twin Modelling. Process Mining. Saa S platforms. Core Competencies Strong analytical and problem‑solving skills. Systems thinking. Commercial acumen. Excellent stakeholder management. Strong communication and interpersonal skills. Ability to translate technical concepts for business users. Strong documentation skills. Innovative mindset with a passion for emerging technologies. Ability to manage multiple projects in a fast‑paced environment Results‑oriented with a strong focus on execution.