GenAI Engineer: RAG & LLM Deployment (Early-Career)

Nagarro

Muscat

On-site

OMR 16,000 - 23,000

Full time

14 days+
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Job summary

Nagarro is seeking a Generative AI developer with 1–2 years of experience to support the development and deployment of GenAI solutions (LLMs, RAG systems) in Muscat, Oman.

The role emphasizes hands-on implementation, integration, and learning-by-delivery under guidance, focusing on Python services, embeddings, and model deployment. Collaborative work with senior engineers is expected.

Qualifications

  • Bachelor's in Computer Science, Data Science or related field.
  • 1–2 years of Generative AI/ML experience.
  • Exposure to end-to-end GenAI/ML projects (academic or professional).
  • Strong Python data handling, APIs and scripting foundations.
  • Experience deploying ML/AI models and embeddings pipelines.
  • Familiarity with vector databases and retrieval flows.
  • Hands-on exposure through projects and internship work.

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 with senior engineers to understand production constraints (latency, cost, accuracy).

Skills

Python
Model deployment
RAG workflows
Prompt engineering
LLM APIs
Docker
APIs

Education

Bachelor's in Computer Science / Data Science

Tools

Docker
LangChain
LlamaIndex
FAISS
Pinecone

Job description

Nagarro is seeking a Generative AI developer with 1–2 years of experience to support the development and deployment of GenAI solutions (LLMs, RAG systems) in Muscat, Oman.

The role emphasizes hands-on implementation, integration, and learning-by-delivery under guidance, focusing on Python services, embeddings, and model deployment. Collaborative work with senior engineers is expected.

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