Senior AI Engineer – Generative AI & LLMs at Enum Technology & Solution Pvt Ltd

Enum Technology & Solution Pvt Ltd; Muscat; On-site; OMR 10,000 - 12,000; Full time

Benefits offered by this job

In-person work in Muscat

Job summary

Enum Technology & Solution Pvt Ltd in Muscat, Oman, is seeking a Senior AI Engineer specializing in Generative AI, LLMs, NLP, and production AI engineering to advance enterprise AI initiatives.

You will design, build, test, and deploy AI/ML solutions, develop RAG pipelines with embeddings and vector databases, and integrate AI features into enterprise apps using cloud platforms and MLOps practices.

Qualifications

• 5–10 years of experience in AI/ML, Machine Learning Engineering, or related software engineering.
• Strong Python programming skills.
• Hands-on experience with Generative AI and Large Language Models (LLMs).
• Practical experience with RAG, embeddings, vector search, and semantic search.
• Experience with one or more of the following: LangChain, LangGraph, LlamaIndex, Hugging Face, OpenAI APIs, PyTorch, TensorFlow.
• Experience with vector databases such as Pinecone, FAISS, Milvus, Weaviate, Azure AI Search.
• Good understanding of NLP, Deep Learning, and Machine Learning.
• Experience with AWS, Azure, or GCP.
• Knowledge of Docker, Kubernetes, REST APIs, CI/CD, and MLflow.

Responsibilities

• Design, develop, test, and deploy AI/ML solutions for enterprise applications.
• Build Generative AI applications using LLMs and foundation models.
• Develop RAG pipelines using embeddings, vector databases, semantic search, hybrid search, and retrieval optimization.
• Build conversational AI applications, intelligent assistants, and AI-powered automation solutions.
• Work with LLM APIs and open-source models to develop practical AI applications.
• Implement prompt engineering, model evaluation, optimization, and performance improvement techniques.
• Develop NLP and Deep Learning solutions for business requirements.
• Integrate AI capabilities into enterprise applications through APIs and microservices.
• Deploy AI solutions using AWS, Azure, or GCP.
• Use Docker, Kubernetes, CI/CD, and MLOps practices for reliable AI deployments.
• Monitor and improve AI application performance, accuracy, latency, and scalability.
• Collaborate with software engineers, data scientists, architects, and business stakeholders.
• Research and evaluate emerging technologies in Generative AI, Agentic AI, and LLMs.

Skills

Python

Generative AI

LLMs

RAG

NLP

Cloud deployments

Docker/Kubernetes

CI/CD

Education

Master’s or PhD in AI/CS/DS

Tools

LangChain

HuggingFace

PyTorch

TensorFlow

OpenAI APIs

Pinecone

FAISS

Milvus

Weaviate

Job description

Senior AI Engineer – Generative AI & LLMs at Enum Technology & Solution Pvt Ltd in Muscat, MA, OM.

This Full time on site position offers great opportunities for career growth.

We are looking for a Senior AI Engineer with strong hands‑on experience in Generative AI, Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), NLP, Deep Learning, and AI/ML engineering. The ideal candidate will have practical experience developing and deploying AI solutions and should be comfortable working with modern AI frameworks, cloud platforms, vector databases, and production AI infrastructure. This is an opportunity to work on enterprise AI initiatives involving LLM applications, intelligent assistants, RAG systems, and emerging Agentic AI technologies.

Key Responsibilities

• Design, develop, test, and deploy AI/ML solutions for enterprise applications.
• Build Generative AI applications using LLMs and foundation models.
• Develop RAG pipelines using embeddings, vector databases, semantic search, hybrid search, and retrieval optimization.
• Build conversational AI applications, intelligent assistants, and AI‑powered automation solutions.
• Work with LLM APIs and open‑source models to develop practical AI applications.
• Implement prompt engineering, model evaluation, optimization, and performance improvement techniques.
• Develop NLP and Deep Learning solutions for business requirements.
• Integrate AI capabilities into enterprise applications through APIs and microservices.
• Deploy AI solutions using AWS, Azure, or GCP.
• Use Docker, Kubernetes, CI/CD, and MLOps practices for reliable AI deployments.
• Monitor and improve AI application performance, accuracy, latency, and scalability.
• Collaborate with software engineers, data scientists, architects, and business stakeholders.
• Research and evaluate emerging technologies in Generative AI, Agentic AI, and LLMs.

Required Skills & Experience

• 5–10 years of experience in AI/ML, Machine Learning Engineering, or related software engineering.
• Strong Python programming skills.
• Hands‑on experience with Generative AI and Large Language Models (LLMs).
• Practical experience with RAG, embeddings, vector search, and semantic search.
• Experience with one or more of the following: LangChain, LangGraph, LlamaIndex, Hugging Face, OpenAI APIs, PyTorch, TensorFlow.
• Experience with vector databases such as: Pinecone, FAISS, Milvus, Weaviate, Azure AI Search.
• Good understanding of NLP, Deep Learning, and Machine Learning.
• Experience with AWS, Azure, or GCP.
• Knowledge of Docker, Kubernetes, REST APIs, CI/CD, and MLflow.
• Ability to develop scalable and production‑ready AI applications.

Preferred Skills

• Master’s or PhD in AI, Machine Learning, Computer Science, Data Science, or a related field.
• Experience with Agentic AI, AI Agents, and multi‑agent systems.
• Exposure to Conversational AI or Voice AI.
• Experience with STT/TTS technologies.
• MLOps / LLMOps experience.
• Knowledge of AI Governance, Responsible AI, and AI Security.
• Experience working with enterprise or financial‑services AI applications.
• Research publications, patents, or open‑source AI contributions.

Pay: From RO1,000.000 per month

Work Location: In person