AI Engineer | LLM Agents, RAG & Vector Search
Artificial Intelligence Engineer
Available for hire
Years of
experience
1+ years
Experience
level
Junior
Available
for
Full-time, Contract, Freelance
Available from
02 Nov 2026
AI engineer in Dublin who builds LLM agents and retrieval systems that run in production.
What I've shipped
- KittyKat (generative AI startup): built a LangGraph multi-agent platform where a supervisor routes work across branding, campaign and moodboard agents, with live token streaming into a Next.js frontend.
- Cut p95 vector search latency in MongoDB from 30 seconds to under 300ms (100x) by finding a full-collection scan and reworking the HNSW index strategy under live traffic.
- Cut Cloud Run cold starts from 3 minutes to under 1 minute by moving the service to Pub/Sub.
- SPEAR: a 4-agent RAG system for a procurement client (LangGraph, FAISS, Gemini, FastAPI, Docker). Supplier quotation analysis went from 5 hours to 15 minutes across 1,000+ documents a day.
Background MSc Computer Science (Data Science), Trinity College Dublin. Dissertation on personalised, secure quantum federated learning for healthcare (73%). BTech in AI and Machine Learning, with published research on fetal health prediction using CNNs and a Best Paper Presenter Award.
Looking for Remote AI/LLM engineer, ML engineer or Python backend roles. Based in Ireland (GMT), full Irish work authorisation, available to start immediately.
Skills
Languages
Employment History
AI/ML Software Developer Intern at
KittyKat
2025
-
2025
- Built a production multi-agent platform in LangGraph: a supervisor routes live campaign workflows across 3 specialised agents (branding, campaign, moodboard) with real-time token streaming to a Next.js frontend.
- Cut p95 vector search latency 100x (30s to under 300ms) on MongoDB HNSW by fixing a full-collection scan and retuning the index under live traffic.
- Cut Cloud Run cold starts from 3 minutes to under 1 minute by moving service invocation to Pub/Sub.
- Built a Gemini Vision + n8n pipeline that extracts products from images and generates on-brand campaign images, under 10 seconds per batch.
Stack: Python, LangGraph, Gemini, MongoDB Atlas, FastAPI, Next.js, Docker, GCP
Software Engineer Intern at
Stremly
2025
-
2025
- Shipped production React and Next.js UI components from design handoff to live deployment.
- Redesigned REST and GraphQL API contracts in Node.js to remove over-fetching and decouple client data dependencies.
Software Developer at
Plumb5
2023
-
2023
- Integrated the ChatGPT API into analytics reporting so users could query customer behaviour data in plain language, cutting report turnaround from hours to under 5 minutes.
- Audited the CDP architecture for scalability bottlenecks and integration gaps and reported findings to engineering and product.
Education
MSc Computer Science (Data Science) at
Trinity College Dublin
2024
-
2025
BTech Artificial Intelligence and Machine Learning at
Rajalakshmi Engineering College
2020
-
2024