Senior GenAI / LLM Engineer (RAG, MLOps)

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