Air Arabia

Senior AI Engineer

Air Arabia
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3 months ago
Colombo, Sri LankaSenior

Responsibilities

  • Design and build production-grade AI agents, multi-agent orchestration frameworks, and conversational systems.
  • Implement dialogue management, prompt engineering patterns, context persistence, and memory strategies.
  • Deliver AI-powered automation across chat, WhatsApp, email, and voice channels.
  • Integrate AI agents with reservation, pricing, operational backend systems, and enterprise knowledge sources.
  • Build and operate retrieval-augmented generation mechanisms, vector database solutions, and semantic search capabilities.
  • Establish evaluation frameworks, testing environments, model lifecycle practices, guardrails, fallback strategies, and failure-handling processes.
  • Optimize AI systems for accuracy, latency, reliability, safety, cost, token usage, and response quality.
  • Collaborate with engineering, business, and operations teams on scalable AI capabilities and mentor junior engineers.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
  • At least 2 years of hands-on experience building production GenAI systems.
  • Strong proficiency in Python for production AI/ML systems.
  • Experience designing AI agents, multi-agent orchestration systems, multi-turn conversational systems, and dialogue flows.
  • Experience with Human-in-the-Loop workflows, vector databases, semantic search, RAG pipelines, enterprise backend integrations, LLM APIs, SLMs, and agent frameworks.
  • Familiarity with Model Context Protocol, prompt engineering, structured prompting, context persistence, memory strategies, multi-channel delivery, guardrails, and AI safety practices.
  • Strong experience building REST APIs and microservices, with understanding of asynchronous processing and event-driven architecture.
  • Experience with Docker and Kubernetes and familiarity with cloud environments and CI/CD pipelines.
  • Understanding of scalability, reliability, cost optimization, monitoring, logging, and AI system evaluation approaches.
  • Fluent in English.
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