Senior AI Engineer – Agentic AI at Enum Technology & Solution Pvt Ltd

Enum Technology & Solution Pvt Ltd; Muscat; On-site; OMR 12,000 - 15,000; Full time

Job summary

Enum Technology & Solution Pvt Ltd in Muscat, Oman, is hiring a Senior AI Engineer – Agentic AI for an on-site, full-time role. The position focuses on designing and deploying AI/ML solutions, with emphasis on Generative AI, RAG pipelines, and enterprise integrations.

The ideal candidate has 5–10 years of AI/ML engineering experience, strong Python skills, and hands-on work with LLMs, vector databases, and cloud deployments on AWS/Azure/GCP. Compensation starts at RO 1,200 per month.

Qualifications

• 5–10 years of relevant AI/ML engineering experience.
• Strong Python programming skills.
• Hands-on with Generative AI and large language models.
• Experience building RAG apps with embeddings and semantic search.
• Proficiency with LangChain, LlamaIndex, Hugging Face, or OpenAI APIs.
• Experience with vector databases like Pinecone, FAISS, Milvus, Weaviate, or Azure AI Search.
• Cloud experience on AWS, Azure, or Google Cloud.
• Familiarity with Docker, Kubernetes, CI/CD, and MLOps.
• Ability to build scalable, production-ready AI solutions.

Responsibilities

• Design, develop, test, and deploy AI/ML solutions.
• Build Generative AI apps using LLMs and foundation models.
• Develop and optimize RAG pipelines using embeddings, vector DBs, semantic search.
• Create intelligent assistants and conversational AI applications.
• Implement prompt engineering, model evaluation, and performance optimization.
• Integrate AI capabilities into enterprise systems via REST APIs and microservices.
• Develop NLP, DL, and ML solutions based on business requirements.
• Deploy AI applications using AWS, Azure, or GCP.
• Apply Docker, Kubernetes, CI/CD, and MLflow for reliable deployments.
• Monitor and improve AI application accuracy, latency, scalability, and performance.
• Collaborate with software engineers, data scientists, architects, and business stakeholders.
• Research and implement emerging technologies in Generative AI, LLMs, and Agentic AI.

Skills

Python

Generative AI

LLMs

RAG pipelines

Embeddings

Vector search

Cloud platforms

Docker

Kubernetes

CI/CD

Education

Bachelor's/Master in CS/AI/DS

Tools

LangChain

LlamaIndex

Hugging Face

PyTorch

TensorFlow

Pinecone

FAISS

Milvus

Weaviate

Azure AI Search

Job description

Apply for Senior AI Engineer – Agentic AI at Enum Technology & Solution Pvt Ltd in Muscat, MA, OM.

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

Key Responsibilities

• Design, develop, test, and deploy AI and Machine Learning solutions.
• Build Generative AI applications using LLMs and foundation models.
• Develop and optimize RAG pipelines using embeddings, vector databases, semantic search, and hybrid search.
• Create intelligent assistants, conversational AI applications, and AI-powered automation solutions.
• Implement prompt engineering, model evaluation, and performance optimization techniques.
• Integrate AI capabilities into enterprise systems using REST APIs and microservices.
• Develop NLP, Deep Learning, and Machine Learning solutions based on business requirements.
• Deploy AI applications using AWS, Azure, or GCP.
• Apply Docker, Kubernetes, CI/CD, and MLOps practices to support reliable deployments.
• Monitor and improve AI application accuracy, latency, scalability, and performance.
• Collaborate with software engineers, data scientists, architects, and business stakeholders.
• Research and implement emerging technologies in Generative AI, LLMs, and Agentic AI.

Required Qualifications and Skills

• 5–10 years of relevant experience in AI/ML engineering, Machine Learning, or related software engineering.
• Strong programming skills in Python.
• Hands-on experience with Generative AI and Large Language Models.
• Practical experience developing RAG applications, embeddings, vector search, and semantic search.
• Experience with one or more AI frameworks or technologies, such as LangChain, LangGraph, LlamaIndex, Hugging Face, OpenAI APIs, PyTorch, or TensorFlow.
• Experience with vector databases such as Pinecone, FAISS, Milvus, Weaviate, or Azure AI Search.
• Good understanding of NLP, Deep Learning, and Machine Learning fundamentals.
• Experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform.
• Familiarity with Docker, Kubernetes, REST APIs, CI/CD, and MLflow.
• Ability to build scalable, secure, and production-ready AI applications.

Preferred Qualifications

Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. A PhD in a relevant discipline is preferred but not mandatory. Experience with Agentic AI, AI agents, or multi-agent systems. Exposure to Conversational AI, Voice AI, speech-to-text (STT), or text-to-speech (TTS). Experience with MLOps, LLMOps, AI governance, or AI security. Experience delivering enterprise or financial-services AI solutions. Contributions to AI research, open-source projects, or relevant technical publications.

Ideal Candidate

The ideal candidate is a hands-on AI professional who can translate business requirements into practical AI solutions. Candidates should be able to demonstrate real-world project experience in Generative AI, LLMs, RAG, or Machine Learning, preferably involving production deployments or enterprise applications.

Pay: From RO1,200.000 per month

Work Location: In person