Generative AI Developer

Our client in the fluid intelligence industry is looking to hire an Omani Generative AI Developer for their company.

Must have

Skills:

Python (Strong), Model Packaging & Deployment (Strong), RAG Workflow (Strong), Prompt Engineering with LLMs (Strong)

Good To Have

Skills:

Vector Databases and Embeddings (Capable)

Early-career AI/ML Engineer supporting the development and deployment of Generative AI solutions (LLMs, RAG systems).

Focus on hands-on implementation, integration, and learning-by-delivery, under guidance.

• Strong foundation in Python (data handling, APIs, scripts)
• Understanding of APIs, Docker, or deployment workflows
• Exposure to deploying ML/AI models (even in projects/internships)
• Understanding of embeddings, retrieval flow
• Hands-on exposure through projects
• Experience working with GPT/Llama APIs
• Ability to structure prompts and evaluate outputs
• Vector Databases (Exposure Level) - Familiarity with FAISS / Chroma / Pinecone and basic usage in projects.
• ML Fundamentals:
  Core concepts - overfitting, evaluation metrics, basic algorithms. Ability to reason about model behavior.

• 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)

• Lang Chain / Llama Index exposure
• Cloud basics (Azure / AWS / GCP)
• Basic understanding of CI/CD or MLOps concepts
• Internship/project experience in GenAI or ML use cases

• Bachelor in Computer Science / Data Science or related field.
• 1-2 years of experience in AI/ML (including internships and project work).
• Exposure to at least one end-to-end ML/GenAI project (academic and professional).