Senior AI Engineer

Company: ENUM Technology Solutions

Location: Muscat, Oman – Onsite

Experience: 7+ Years in AI/ML Engineering

Generative AI Experience: 3+ Years

Job Summary ENUM is looking for an experienced Senior AI Engineer to design, develop, and deploy enterprise-grade AI solutions using Machine Learning, Generative AI, Large Language Models (LLMs), and Agentic AI. The ideal candidate will have hands-on experience with open-source AI models, multi-agent systems, enterprise AI architecture, and production-ready AI applications.

Key Responsibilities

• Design, develop, and deploy AI/ML solutions for enterprise business requirements.
• Build Generative AI applications using open-source and commercial LLMs, including Llama, Mistral, and models available through Hugging Face.
• Design and implement Agentic AI solutions, autonomous workflows, and multi-agent systems.
• Develop Retrieval-Augmented Generation (RAG) pipelines using embeddings, vector databases, semantic search, and reranking techniques.
• Implement AI orchestration workflows using LangGraph, LangChain, AutoGen, or similar frameworks.
• Fine-tune, evaluate, and optimize open-source machine learning and language models for enterprise use cases.
• Design scalable and secure enterprise AI architecture, integrating AI solutions with existing applications, APIs, databases, and business systems.
• Develop and deploy AI services using Python, machine learning frameworks, APIs, and microservices architecture.
• Implement AI evaluation frameworks, performance metrics, monitoring, regression detection, and quality assurance mechanisms.
• Optimize model inference, latency, scalability, and resource utilization for production environments.
• Apply MLOps practices for model deployment, versioning, monitoring, and continuous improvement.
• Ensure compliance with enterprise security, data privacy, AI governance, and responsible AI standards.
• Collaborate with enterprise architects, technical teams, and business stakeholders to deliver production-ready AI solutions.

Required Skills and Qualifications

• 7+ years of professional experience in AI/ML Engineering or related fields.
• At least 3 years of hands-on experience with Generative AI, LLMs, and Agentic AI.
• Strong programming skills in Python and experience with machine learning libraries such as PyTorch, TensorFlow, and Scikit-learn.
• Practical experience with open-source AI models and frameworks, including Hugging Face Transformers, Llama, or Mistral.
• Strong understanding of LLM architecture, prompt engineering, fine-tuning, embeddings, and inference optimization.
• Hands-on experience developing RAG systems, vector search, reranking, and retrieval optimization.
• Experience building AI agents and multi-agent systems using LangGraph, LangChain, AutoGen, or equivalent frameworks.
• Knowledge of enterprise architecture, system integration, microservices, APIs, scalability, and security.
• Experience with AI model evaluation, observability, monitoring, and regression testing.
• Familiarity with Docker, Kubernetes, CI/CD pipelines, cloud infrastructure, and MLOps practices.
• Experience deploying and maintaining AI applications in production environments.

Preferred Skills

• Experience with vector databases such as Qdrant, Milvus, Weaviate, or Pinecone.
• Experience with inference and serving frameworks such as vLLM or Ollama.
• Knowledge of cloud AI infrastructure across Azure, AWS, or Google Cloud.
• Experience with GPU-based deployments, model quantization, and performance optimization.
• Familiarity with enterprise AI governance, identity management, and secure data integration.

Education Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related discipline.

Key Competencies

• Machine Learning and Deep Learning
• Generative AI and Large Language Models
• Open-Source Models and Model Fine-Tuning
• Agentic AI and Multi-Agent Systems
• RAG, Embeddings, Vector Search, and Reranking
• LangGraph, LangChain, and AutoGen
• Enterprise AI Architecture and Integration
• AI Evaluation, Monitoring, and MLOps

Application Details Interested candidates can share their updated CV at careers@enums.co.

Location: Muscat, Oman – Onsite