Generative AI Engineer – Early Career

About the role

We are looking for a Generative AI Engineer to join our team in Muscat. This early‑career position focuses on hands‑on implementation, integration and delivery of Generative AI solutions such as large language models and Retrieval‑Augmented Generation systems.

Key responsibilities

• Assist in building RAG‑based GenAI solutions for enterprise use cases.
• Develop Python services and APIs that integrate LLMs.
• Support data preprocessing, embeddings and retrieval pipelines.
• Contribute to model deployment and integration tasks.
• Debug and improve existing pipelines under supervision.
• Collaborate with senior engineers to address production constraints like latency, cost and accuracy.

Required profile

• Strong foundation in Python for data handling, APIs and scripting.
• Understanding of APIs, Docker and deployment workflows.
• Exposure to deploying ML/AI models through projects or internships.
• Knowledge of embeddings, retrieval flow and vector databases (FAISS, Chroma, Pinecone).
• Hands‑on experience with GPT/Llama APIs and prompt engineering.
• Basic grasp of ML fundamentals such as overfitting, evaluation metrics and core algorithms.

Required skills

• Python
• Model Packaging & Deployment
• RAG Workflow
• Prompt Engineering with LLMs
• Vector Databases (FAISS, Chroma, Pinecone)
• LangChain / LlamaIndex
• Docker
• Azure, AWS, GCP basics
• CI/CD and MLOps concepts