AI Developer (RAG + LLM + MLOps) – We’re Hiring

ابتكاريه فنتشر استوديو; Riyadh; On-site; SAR 150,000 - 200,000; Full time

Job summary

A technology firm is seeking a skilled AI Developer to design and develop LLM-based pipelines and optimize model performance. Responsibilities include developing and fine-tuning ML models, integrating AI capabilities into applications, and collaborating with cross-functional teams. The ideal candidate should have proficiency in Python and experience with key tools like PyTorch, TensorFlow, and Docker. This position is located in Riyadh, Saudi Arabia and offers a dynamic work environment.

Qualifications

• Strong proficiency in Python.
• Experience with ML/LLM models and optimization.
• Familiarity with data engineering and workflow orchestration tools.

Responsibilities

• Develop and optimize ML/LLM models using frameworks.
• Integrate AI capabilities into applications.
• Collaborate with teams to deliver features.

Skills

Python

ML/LLM model development

Model optimization

Docker

Kubernetes

Cloud deployment

Tools

PyTorch

TensorFlow

Hugging Face

Airflow

Prefect

Job description

We are looking for a highly skilled AI Developer to join our team and help build the next generation of intelligent, automated, and scalable digital systems.

You will design and develop LLM-based pipelines, optimize model performance, and ship real production‑grade AI features used by thousands of users.

Responsibilities

• Develop, fine‑tune, and optimize ML/LLM models using PyTorch, TensorFlow, and Hugging Face.
• Design RAG pipelines using LangChain, LlamaIndex, and advanced vector databases (Faiss, Milvus, Pinecone).
• Integrate AI capabilities into real‑world applications (APIs, microservices, and automation systems).
• Build and maintain ETL workflows using Airflow or Prefect.
• Optimize inference with ONNX Runtime, TensorRT, quantization, and model distillation.
• Deploy and scale models using Docker, Kubernetes, and cloud AI platforms (AWS/GCP/Azure).
• Collaborate with product and engineering teams to deliver high‑impact features.

Bonus Points

• Experience with LLM agents, multi‑modal models, or reinforcement learning.
• Experience building AI automations using n8n or similar.
• Strong background in model optimization (quantization, pruning).

Requirements

• Strong proficiency in Python.
• Experience with PyTorch / TensorFlow / Hugging Face.
• Hands‑on experience with RAG, embeddings, vector DBs.
• Familiarity with LangChain, LlamaIndex, ChatGPT OSS, or similar frameworks.
• Experience with Docker, Kubernetes, CI/CD, and cloud deployment.
• Solid understanding of data engineering and workflow orchestration (Airflow / Prefect).