GENERATIVE-AI ENGINEER (OMANI NATIONAL)

Nagarro; Muscat; On-site; OMR 20,000 - 28,000; Full time

Job summary

Nagarro is seeking a motivated individual in Oman to focus on Generative AI development involving hands-on implementation, integration, and learning-by-delivery. The candidate should have a strong foundation in Python and experience with ML/AI models, primarily in developing enterprise solutions.

The ideal applicant should possess a Bachelor's degree in Computer or Data Science and have at least 12 years of AI/ML experience, including practical exposure to projects. This position involves collaborating with senior engineers to build RAG-based solutions and improve existing pipelines.

Qualifications

• 12 years of experience in AI/ML, including internships and projects.
• Exposure to at least one end-to-end ML/GenAI project.

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.

Skills

Python (data handling, APIs, scripts)

Understanding of APIs, Docker, or deployment workflows

Exposure to deploying ML/AI models

Understanding of embeddings, retrieval flow

Hands-on exposure through projects

Experience working with GPT/Llama APIs

Structuring prompts and evaluating outputs

Familiarity with FAISS / Chroma / Pinecone

Core ML Fundamentals

Education

Bachelor's in Computer Science / Data Science or related field

Job description

Overview

Job Description Major focus on Generative AI development: hands-on implementation, integration, and learning-by-delivery, under guidance.

Must Have

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

Good to Have

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

Core Responsibilities (Execution Under Guidance)

1. Assist in building RAG-based GenAI solutions for enterprise use cases
2. Develop Python-based services/APIs integrating LLMs
3. Support data preprocessing, embeddings, and retrieval pipelines
4. Contribute to model deployment and integration tasks
5. Debug and improve existing pipelines under supervision
6. Work closely with senior engineers to understand production constraints (latency, cost, accuracy)

Experience & Qualification

1. Bachelor's in Computer Science / Data Science or related field
2. 12 years of experience in AI/ML (including internships and project work)
3. Exposure to at least one end-to-end ML/GenAI project (academic and professional)