Artificial Intelligence Engineer

🏢 tecnoprism pvt ltd
📍 Abu Dhabi, United Arab EmiratesFull-timeOn-site
📅 Posted: 2d ago🔄 Updated: 2d ago
CV%
✨ AI Summary
We are seeking an experienced AI Engineer with a specialization in Generative AI and AI Testing for the airline domain in Abu Dhabi. The role involves designing, developing, testing, and deploying AI-powered solutions using Python, LLMs, and AI agent frameworks. Key responsibilities include building AI agents, chatbots, and automation solutions, as well as performing comprehensive AI testing, including model validation, prompt testing, and bias evaluation. The position also requires implementing MLOps/LLMOps practices and collaborating with business and technology teams. Required qualifications include 7+ years of experience in AI development, strong Python programming skills, and hands-on experience with LLMs, Generative AI, RAG, Vector Databases, and AI models. Proficiency in AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, or Semantic Kernel is essential. Experience with AI testing methodologies and cloud AI services (Azure, AWS, GCP) is also required. Experience in the airline/aviation/travel industry is preferred, and a Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field is preferred.
Required Skills
Information Technology
LangChainCrewAIGenerative AILarge Language ModelsAI AgentsLLMOpsFunctional TestingLangGraphVector DatabasesRAGLlamaIndex
Other
Agentic BotsSemantic KernelAutoGenGCP AI services
Finance, Legal & Governance
Valuation
Requirements
The ideal candidate will have 7+ years of experience in AI Engineering, with expertise in Generative AI, LLMs, AI Agent Development, and AI Testing. Strong Python programming skills are required, along with hands-on experience with AI frameworks like LangChain or AutoGen. Experience in the airline industry is preferred.
Description
Job Title: AI Engineer - Generative AI & Testing (Airline Domain)Exp. – 7+ yearsLocation: - Abu Dhabi (work from office 5 days a week)Interview Rounds – 1-2 Rounds by Atain Delivery Team; 1-2 Rounds by end clientRole OverviewWe are looking for an experienced AI Engineer with expertise in Generative AI, Large Language Models (LLMs), AI Agent Development, and AI Testing. The ideal candidate will design, develop, test, and deploy AI-powered solutions for airline business processes, with a strong focus on ensuring the quality, reliability, and performance of AI systems.Key ResponsibilitiesDevelop AI solutions using Python, LLMs, Generative AI, and AI Agent frameworks.Build and deploy AI agents, agentic workflows, chatbots, and automation solutions.Design and execute comprehensive AI testing strategies for models, LLMs, and AI agents.Perform model validation, prompt testing, performance testing, regression testing, security testing, and bias evaluation.Establish automated testing frameworks, evaluation metrics, and monitoring processes for AI applications.Implement MLOps/LLMOps practices for deployment, testing, and governance.Collaborate with business and technology teams to deliver AI solutions aligned to airline industry needs.Required SkillsStrong programming experience in Python.Hands-on experience with LLMs, Generative AI, RAG, Vector Databases, and AI Models.Experience with AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, or Semantic Kernel.Expertise in developing AI agents, agentic bots, and autonomous workflows.Strong knowledge of AI Testing, including:LLM Evaluation & ValidationAI Agent TestingFunctional, Integration & Regression TestingPerformance & Security TestingPrompt Testing & OptimizationResponsible AI, Bias & Fairness TestingExperience with Azure, AWS, or GCP AI services.Domain ExperienceExperience in the Airline/Aviation/Travel industry is preferred.Understanding of airline operations, customer service, reservations, crew management, airport operations, or passenger experience solutions is a plus.Preferred QualificationsBachelor's or Master's degree in Computer Science, AI, Data Science, or related field.Experience with MLOps/LLMOps, AI Governance, and Responsible AI frameworks.Key Skills: Python | Generative AI | LLMs | AI Agents | Agentic Bots | AI Testing | LLM Evaluation | MLOps/LLMOps | Airline Domain Expertise.
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00