Senior Generative AI Engineer—LLM & MLOps

Tanqeeb; Abu Dhabi; On-site; AED 350,000 - 600,000; Full time

Job summary

Tanqeeb is seeking an experienced AI/ML engineer to design, develop and deploy scalable generative AI solutions for internal teams. You will manage end-to-end LLM deployments, train models, and optimize GPU resources for high-efficiency inference.

The role calls for strong Python, MLOps, and data engineering skills, with emphasis on RAG pipelines, vector databases, and Airflow orchestration in production environments.

Qualifications

• BS degree in CS/SE/AI or related field is required.
• 8+ years in software engineering with production LLM/RAG experience.
• Strong Python, DBs and ML framework experience expected.

Responsibilities

• Design robust RAG pipelines integrating LLMs with proprietary data sources.
• Architect and maintain Apache Airflow DAGs for data workflows.
• Manage and optimize Vector DBs for embeddings storage and retrieval.
• Maintain internal LLM deployments with high uptime and GPU resource management.
• Train, fine-tune and deploy DL/LLM models to production environments.

Skills

Python

Java

PyTorch

TensorFlow

Hugging Face

RAG

LangChain

LlamaIndex

LoRA/PEFT

Apache Airflow

DAGs

PySpark

Ray

Vector DBs

SQL/NoSQL

Embeddings

Semantic search

Docker

Kubernetes

Cloud (AWS/Azure/GCP)

CI/CD pipelines

CUDA

Education

Bachelor's Degree in CS/Software/AI or related field

Tools

PyTorch

TensorFlow

Hugging Face

LangChain

Llama Index

Apache Airflow

Docker

Kubernetes

GPU optimization tools

Job description

Tanqeeb is seeking an experienced AI/ML engineer to design, develop and deploy scalable generative AI solutions for internal teams. You will manage end-to-end LLM deployments, train models, and optimize GPU resources for high-efficiency inference.

The role calls for strong Python, MLOps, and data engineering skills, with emphasis on RAG pipelines, vector databases, and Airflow orchestration in production environments.