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.