The Role
Build and deploy production-grade generative AI and LLM solutions, including advanced RAG pipelines, prompt strategies, agentic applications, enterprise integrations, and high-throughput unstructured-data processing. Develop with Python and modern ML and LLM frameworks, integrate vector databases, and implement MLOps practices for evaluation, monitoring, CI/CD, and reliable deployment. Collaborate with stakeholders and independently solve ambiguous technical problems while applying GenAI safety guardrails.
Summary Generated by Built In
Senior GenAI / LLM Engineer (RAG, MLOps)
Role: Senior Generative AI / LLM Engineer
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
- Vector DB experience: PGVector, Pinecone, MongoDB Atlas, Neo4j (or similar)
- 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
- CI/CD tools exposure: Jenkins, GitLab CI, Azure DevOps, ArgoCD
- 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
Skills Required
- 6-10 years of experience in application development, systems analysis, or AI engineering
- Strong foundations in generative AI, machine learning modeling, data science, statistics, NLP, neural networks, LLMs, and AI fundamentals
- Hands-on experience with Google Gemini, OpenAI, Anthropic Claude, Mistral, Llama, and open-source models
- Deep hands-on experience building and implementing advanced Retrieval-Augmented Generation pipelines
- Strong prompt engineering experience, including prompt strategies, tuning, and reusable templates
- Experience with agentic frameworks
- Strong mandatory Python experience with Pandas, NumPy, scikit-learn, PyTorch or TensorFlow, Transformers, FastAPI, LangChain, and LlamaIndex
- Experience integrating generative AI into enterprise applications using APIs, orchestration tools, and knowledge or graph concepts
- Experience with vector databases such as PGVector, Pinecone, MongoDB Atlas, or Neo4j
- Experience handling large-scale unstructured data and high-throughput processing
- Proven experience deploying generative AI or LLM solutions to production
- Strong MLOps knowledge, including evaluation, monitoring, and robust deployment pipelines
- Exposure to Jenkins, GitLab CI, Azure DevOps, or ArgoCD
- Experience with Kubernetes or OpenShift
- Strong problem-solving skills and ability to work independently on ambiguous problems
- Strong stakeholder collaboration skills
- Working knowledge of GenAI guardrails and performance or safety assessment methods
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The Company
What We Do
Test Triangle is a Dublin-headquartered technology services company founded in 2012. It helps organizations transform operations through IT service management, digital transformation, software testing and quality assurance, cloud solutions, consulting, managed services, and recruitment. The company also provides application testing, DevOps, robotic process automation, software and mobile development, technology training, staffing, and resource augmentation across Ireland, the UK, and international markets.
