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Agentic AI Engineer

Job Description - 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.

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#
  • TypeScript
  • SQL

AI Technologies

  • 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)

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


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