Role:
Experience Level: 10+ Years
location: QATAR
Note :communication (Arabic & English). Gulf nationals only.
Machine Learning & Generative AI Engineer (Mid-Level)
**ML | DL | Python | LangChain/LangGraph | Azure AI Foundry | RAG | Vector Stores | Semantic Kernel
Role Summary
Build and deploy enterprise-grade Generative AI solutions with strong grounding and
measurable quality. You will implement RAG pipelines, agentic workflows
(LangChain/LangGraph/ Semantic Kernel), and evaluation/monitoring on Azure AI Foundry
and Azure services, or GCP.
Key Responsibilities
Implement end-to-end RAG: ingestion, chunking, embeddings, retrieval, reranking,and citation/grounding.
Develop agentic workflows using Semantic Kernel, LangChain and LangGraph(tools, routing, memory) with guardrails and safe tool use.
Integrate vector stores/search (Azure AI Search vector, Pinecone, Weaviate, Milvus,pgvector, or equivalent) and maintain reliable data pipelines.
Build Python services/APIs (FastAPI preferred) with streaming, auth (Entra ID/OIDCas applicable), and production-ready error handling.
Own quality and operations: golden datasets, automated regression evaluation,tracing/observability, and latency/cost optimization (caching, batching).
Required Qualifications
3-6 years software engineering experience; 1-3 years delivering ML/GenAI featuresto production.
Strong Python, API development, unit/integration testing, and Git-based workflows(Azure DevOps or GitHub).
Hands-on experience with RAG patterns, embeddings, retrieval strategies, promptdesign, and LLMs evaluation basics.
Experience with Azure AI Foundry / Azure OpenAI and deploying on Azure(Container Apps, Functions, App Service,
or AKS).Comfortable working with data and documents; strong communication anddocumentation skills.
Great Advantage
LLMOps: prompt/version governance, tracing (LangSmith/OpenTelemetry), andevaluation frameworks.
Hybrid search and reranking, structured outputs (JSON schema), and prompt-injection/tool-safety mitigations.
Performance testing and cost optimization experience for LLM-based systems.Bilingual communication (Arabic & English).Typical Tech Stack
Python (FastAPI), LangChain, LangGraph, Azure AI Foundry, Azure OpenAI, Azure AISearch (vector), Semantic Kernel, PyTroch, Keras, Tensorflow.
Pinecone/Weaviate /pgvector / Azure AI Search, Docker, Azure DevOps, Key Vault,Application Insights.**
Skills: vector,python,rag,kernel,ml,azure
