Agentic AI Engineer

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.

• 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#
• TypeScript
• SQL

• Microsoft Copilot & Copilot Studio.
• Azure AI / Azure OpenAI.
• OpenAI APIs.
• Claude AI.
• Prompt Engineering.
• Retrieval-Augmented Generation (RAG)
• AI Agents & Agentic Workflows.
• Large Language Models (LLMs)

• 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.
• NetSuite.
• Workflow Automation Platforms.
• Business Intelligence Platforms.
• LangChain.
• Semantic Kernel.
• Predictive Analytics.
• Digital Twin Modelling.
• Process Mining.
• SaaS platforms.

• 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.