Graduate AI Implementation Engineer
AI Engineering & Product
•
Build RAG pipelines, multi-agent workflows and document
ingestion processes
•
Support Azure AI Search, Document Intelligence, OpenAI
API and Graph integrations
•
Translate regulatory SOPs and QMS content into
structured AI-readable workflows
•
Build prototype environments, demo systems and MVPs for
pilot customers
•
Python / FastAPI backend development and technical
documentation
Customer Implementation
•
Support end-to-end platform deployments at enterprise
life sciences customers
•
Participate in requirements workshops and solution
design sessions
•
Map customer processes to platform modules: Document
Management, CAPA, Audit, Clinical Evaluation, PMS
•
Produce URS, FDS and process flow diagrams under
Technical Director guidance
•
Support validation, data ingestion, integration testing
and customer training
Continuous Improvement
•
Capture customer feedback and surface product gaps to
engineering team
•
Contribute to implementation methodology, training
materials and delivery playbook
Support integrations with SharePoint, LIMS, ERP and regulatory databases
Essential
•
Degree (or final year) in Computer Science, AI,
Software Engineering, Data Science, Biomedical Engineering or related STEM
•
Python, APIs/JSON/REST, Git and backend fundamentals
•
Strong analytical and problem-solving skills
Desirable
•
Azure AI (AI Search, Document Intelligence, OpenAI on
Azure)
•
RAG architectures, vector search, LLM-based
applications
•
Microsoft Graph, Dataverse, Power Platform or
SharePoint
•
Cloud deployment, CI/CD or containerisation
Career Growth
This role is structured to develop a
high-potential graduate into a specialist at the intersection of AI engineering
and life sciences regulatory delivery — a genuinely rare combination. Depending
on your strengths, you can grow into:
•
AI Implementation Engineer — regulatory AI and
enterprise delivery
•
AI Platform Engineer — product engineering, RAG and
pipeline architecture
•
RegTech Consultant — client-facing compliance
technology expertise
Why Join Us
•
Real AI products, real enterprise customers, regulated
industry
•
Ground floor of a credible Irish AI company with clear
market opportunity
•
Direct access to Founder and Technical Director — no
layers
•
Technically interesting: RAG, document intelligence,
agentic AI, regulatory knowledge modelling
Equal opportunities employer — all backgrounds welcome
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AI Engineering & Product
•
Build RAG pipelines, multi-agent workflows and document
ingestion processes
•
Support Azure AI Search, Document Intelligence, OpenAI
API and Graph integrations
•
Translate regulatory SOPs and QMS content into
structured AI-readable workflows
•
Build prototype environments, demo systems and MVPs for
pilot customers
•
Python / FastAPI backend development and technical
documentation
Customer Implementation
•
Support end-to-end platform deployments at enterprise
life sciences customers
•
Participate in requirements workshops and solution
design sessions
•
Map customer processes to platform modules: Document
Management, CAPA, Audit, Clinical Evaluation, PMS
•
Produce URS, FDS and process flow diagrams under
Technical Director guidance
•
Support validation, data ingestion, integration testing
and customer training
Continuous Improvement
•
Capture customer feedback and surface product gaps to
engineering team
•
Contribute to implementation methodology, training
materials and delivery playbook
Support integrations with SharePoint, LIMS, ERP and regulatory databases
Essential
•
Degree (or final year) in Computer Science, AI,
Software Engineering, Data Science, Biomedical Engineering or related STEM
•
Python, APIs/JSON/REST, Git and backend fundamentals
•
Strong analytical and problem-solving skills
Desirable
•
Azure AI (AI Search, Document Intelligence, OpenAI on
Azure)
•
RAG architectures, vector search, LLM-based
applications
•
Microsoft Graph, Dataverse, Power Platform or
SharePoint
•
Cloud deployment, CI/CD or containerisation
Career Growth
This role is structured to develop a
high-potential graduate into a specialist at the intersection of AI engineering
and life sciences regulatory delivery — a genuinely rare combination. Depending
on your strengths, you can grow into:
•
AI Implementation Engineer — regulatory AI and
enterprise delivery
•
AI Platform Engineer — product engineering, RAG and
pipeline architecture
•
RegTech Consultant — client-facing compliance
technology expertise
Why Join Us
•
Real AI products, real enterprise customers, regulated
industry
•
Ground floor of a credible Irish AI company with clear
market opportunity
•
Direct access to Founder and Technical Director — no
layers
•
Technically interesting: RAG, document intelligence,
agentic AI, regulatory knowledge modelling
Equal opportunities employer — all backgrounds welcome
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