Senior GenAI LLM Engineer (RAG, MLOps)
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
Senior GenAI / LLM Engineer (RAG MLOps)
Role: Senior Generative AI / LLM Engineer
Experience: 610 years (Apps Development / Systems Analysis / AI Engineering)
Location: Ireland
Type: Fixed term contract 1 year.
MustHave Skills
- Strong foundations in GenAI ML modeling Data Science Statistics and AI fundamentals (NLP Neural Networks LLMs)
- Handson with major LLMs: Google Gemini OpenAI Anthropic Claude Mistral Llama opensource models
- Critical: Deep handson experience building RetrievalAugmented 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 scikitlearn 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 largescale unstructured data and highthroughput 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
Required Skills:
infrastructure
