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Generative-Ai Engineer; Omani National

Job in Muscat, Oman
Listing for: Nagarro
Full Time position
Listed on 2026-09-16
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 16000 - 23000 OMR Yearly OMR 16000.00 23000.00 YEAR
Job Description & How to Apply Below
Position: GENERATIVE-AI ENGINEER (OMANI NATIONAL)

Job Description

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)

Job description:

Generative AI developer (experience 1 to 2 years) 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.

Must Have:
  • 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.
  • Core Responsibilities (Execution Under Guidance)
  • 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)
  • Good to Have
  • 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
  • Experience & Qualification
  • Bachelor's in Computer Science / Data Science or related field.
  • 12 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).
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