GENERATIVE-AI ENGINEER (OMANI NATIONAL)
Core
Early-career AI/ML Engineer supporting the development and deployment of Generative AI solutions (LLMs, RAG systems) for enterprise use cases.
Role type
Early-career Generative AI Engineer
Builds
RAG-based GenAI solutions, Python-based services/APIs integrating LLMs
Domain
Generative AI, Large Language Models, Retrieval-Augmented Generation
Deliverable
production ML models
Required skills
Python (data handling, APIs, scripts), Model Packaging & Deployment, RAG Workflow, Prompt Engineering with LLMs, Understanding of APIs, Docker, ML Fundamentals (overfitting, evaluation metrics), Vector Databases (FAISS, Chroma, Pinecone), Experience with GPT/Llama APIs
Preferred skills
LangChain / LlamaIndex exposure, Cloud basics (Azure / AWS / GCP), CI/CD or MLOps concepts
Technologies
Python, Docker, FAISS, Chroma, Pinecone, GPT, Llama
Responsibilities
Assist in building RAG-based GenAI solutions for enterprise use cases, Develop Python-based services/APIs integrating LLMs, Support data preprocessing, embeddings, and retrieval pipelines, Contribute to model deployment and integration tasks, Debug and improve existing pipelines under supervision, Work closely with senior engineers to understand production constraints (latency, cost, accuracy)
Seniority
Early-career, hands-on IC
