Barden is delighted to partner with a leading organisation in their search for an AI Engineer to join their team. This person will work across both business and engineering functions to design, build, and deploy production-ready AI agents that deliver measurable business value.
ABOUT THE ROLE (AI Engineering | Agentic AI | Python)
You will lead the design and delivery of production-grade AI agents on an internal Agentic AI platform, while partnering closely with business stakeholders to identify and shape high-value use cases.
Responsibilities will include:
- Translating business problems into well-defined agentic solutions through structured discovery and requirements gathering
- Engineering and iterating agent prompts and instructions (context engineering) to ensure consistent, reliable behaviour
- Building and configuring MCP-based integrations, including defining tool contracts and troubleshooting tool execution issues
- Developing MCP servers to wrap external APIs and internal systems with proper authentication, error handling, and logging
- Designing end-to-end agentic workflows, including retrieval, tool use, and analytics/AI model integration
- Managing and improving file-based knowledge bases, including ingestion, organisation, and RAG optimisation
- Creating and maintaining search indexes for document corpora where required
- Designing and executing evaluation frameworks using offline test sets, regression testing, and metrics tracking (e.g. MLflow)
ABOUT YOU
- A hybrid profile combining strong software engineering capability with business-facing communication skills and a passion for applied AI systems.
- Ability to assess AI use case feasibility, complexity, and business value (including ROI framing and prioritisation)
- Experience acting as a bridge between technical and non-technical stakeholders
- Focus on end-user experience and business outcome optimisation
AI Engineering
- 3+ years of professional software engineering experience, preferably backend-focused (Python preferred but flexible)
- 2+ years of experience building LLM-powered applications, including AI agents, RAG systems, or tool-using systems
- Strong understanding of LLM behaviour, including context windows, tokenisation, hallucinations, latency, and cost trade-offs
- Familiarity with secure authentication patterns including OAuth 2.0 / OIDC and identity platforms such as Azure Entra ID
- Strong software engineering fundamentals including Git, testing, code reviews, logging, and monitoring
- Excellent communication skills and ability to work in an Agile, cross-functional team environment
OTHER DETAILS
- Opportunity to work on cutting-edge Agentic AI systems in a highly applied, production-focused environment
- Strong focus on real-world value delivery, evaluation, and continuous improvement of AI agents
If this role aligns well with your experience, please apply here or contact rachel.mcguckian@Barden.ie for more information.