Lead AI Engineer for RAG Pipelines on Azure & Kubernetes

EngiFlex BV; Brussel; On-site; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Company car

Job summary

EngiFlex BV is seeking a Senior AI Engineer for RAG solutions on Azure and Kubernetes. The role focuses on building and supporting AI services from design through production, collaborating with an AI Platform Architect and project teams to deliver scalable, observable, and cost-conscious AI capabilities.

The candidate will work with LangChain, embeddings, and Azure services, contributing to secure, maintainable, and well-documented deployments on AKS and Azure.

Qualifications

• Senior-level experience with Python, RAG apps, LLMs and Azure OpenAI Service.
• Hands-on knowledge of Azure services for AI delivery, deployment and operations.
• Experience building and operating AI services with a focus on maintainability, evaluation and production readiness.
• Understanding of retrieval patterns, embeddings, prompt design, guardrails and observability for AI workloads.

Responsibilities

• Build and maintain end-to-end RAG pipelines from retrieval to answer generation.
• Develop ingestion pipelines with source connectors, chunking, embeddings and incremental refresh.
• Implement security trimming and ACL propagation.
• Set up agent orchestration, prompt templates and guardrails with Python and LangChain.
• Configure evaluation and tracing with offline datasets and performance metrics.
• Create Terraform, Helm and Azure DevOps artefacts to deploy and operate on Azure and AKS.
• Improve observability and cost control, monitoring latency, token usage and run costs.
• Support hypercare and early production with incident analysis and handovers.

Skills

Python

RAG apps

LLMs

Azure OpenAI

AKS

Terraform

Observability

Prompt design

LangChain

Agent orchestration

Embeddings

English communication

Tools

Azure DevOps

Databricks

MLflow

Terraform (IaC)

Helm

Azure API Management

Azure AI Search

Job description

EngiFlex BV is seeking a Senior AI Engineer for RAG solutions on Azure and Kubernetes. The role focuses on building and supporting AI services from design through production, collaborating with an AI Platform Architect and project teams to deliver scalable, observable, and cost-conscious AI capabilities.

The candidate will work with LangChain, embeddings, and Azure services, contributing to secure, maintainable, and well-documented deployments on AKS and Azure.