Senior GenAI / LLM Engineer (RAG, MLOps)

Test Triangle Ltd; Dublin; On-site; EUR 70,000 - 90,000; Part time

Job summary

Test Triangle Ltd is looking for a candidate with extensive experience in GenAI and AI Engineering to join their Dublin team on a fixed-term contract. The ideal candidate will possess a strong foundation in ML modeling and have hands-on experience with major LLMs.

You will be expected to build advanced Retrieval-Augmented Generation (RAG) pipelines and demonstrate proficiency in Python with tools like Pandas, PyTorch, and TensorFlow. Strong problem-solving skills and the ability to integrate GenAI into enterprise applications are critical.

Qualifications

• 6–10 years of experience in Apps Development, Systems Analysis, or AI Engineering.
• Strong foundations in GenAI, ML modeling, Data Science, and statistics.
• Deep, hands-on experience building RAG pipelines.

Skills

GenAI, ML modeling, Data Science, Statistics

LLMs (Google Gemini, OpenAI, Anthropic Claude, Mistral, Llama)

Retrieval-Augmented Generation (RAG)

Prompt Engineering

Python

APIs and orchestration tools

MLOps

Kubernetes or OpenShift

Strong problem solving

Tools

Pandas

NumPy

scikit-learn

PyTorch

TensorFlow

Transformers

FastAPI

LangChain

LlamaIndex

Job description

Job Description

Experience:6–10 years (Apps Development / Systems Analysis / AI Engineering)

Location:Ireland

Type:Fixed term contract 1 year.

Must‑Have Skills

• Strong foundations in GenAI, ML modeling, Data Science, Statistics, and AI fundamentals (NLP, Neural Networks, LLMs)
• Hands‑on with major LLMs: Google Gemini, OpenAI, Anthropic Claude, Mistral, Llama+ open‑source models
• Critical:Deep, hands‑on experience building Retrieval‑Augmented Generation (RAG) pipelines (advanced RAG techniques + implementation)
• Strong Prompt Engineering (prompt strategies, tuning, reusable templates) and agentic frameworks
• Python (mandatory) with strong experience across: Pandas, NumPy, scikit‑learn, PyTorch/TensorFlow, Transformers, FastAPI, LangChain, LlamaIndex

Data / Integration

• Experience integrating GenAI into enterprise apps using APIs, orchestration tools, and knowledge/graph concepts
• Experience handling large‑scale unstructured data and high‑throughput processing

Deployment / MLOps

• Critical:Proven experience deploying GenAI/LLM solutions to production
• Strong MLOps knowledge: evaluation, monitoring, and robust deployment pipelines
• Container orchestration: Kubernetes or OpenShift

Other / Soft Skills

• Strong problem solving, stakeholder collaboration, and ability to work independently on ambiguous problems
• Working knowledge of Guardrails and methods to assess performance/safety of GenAI features

City Dublin 1

State/Province Dublin

D01