Senior AI Engineer — RAG Applications (Azure / Kubernetes)
Core
Architect, build, and operationalize Retrieval-Augmented Generation (RAG) applications and AI services on a hybrid Azure platform for public systems.
Role type
Senior AI Engineer (RAG Applications)
Builds
End-to-end RAG pipelines, ingestion pipelines, AI agents, and production AI services
Domain
Public sector digital transformation / AI Infrastructure
Deliverable
production ML models
Required skills
RAG architectures, Azure Kubernetes Service (AKS), Azure OpenAI Service, Python, Terraform, LangChain, Vector databases, Infrastructure-as-Code (IaC), CI/CD pipelines
Preferred skills
Agent orchestration frameworks, open-source AI components, observability and cost control
Responsibilities
Designing and implementing end-to-end RAG pipelines, building and optimizing ingestion pipelines, implementing security trimming and ACL propagation, orchestrating AI agents and crafting prompt templates, setting up evaluation and tracing frameworks, developing and maintaining IaC, instrumenting observability and cost control, leading hypercare and early production phases
Seniority
Senior, hands-on IC
