About this role
Aspire Software is looking for an AI Engineering Manager to join our team in Lebanon.
Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.
About the job:
The AI Engineering Manager leads a cross-functional team (Development & QA) and owns technical architecture, delivery outcomes, AI-enabled system design and driving an AI first culture among your team. This role is both strategic and hands-on. It requires strong expertise in modern AI frameworks, applied AI architectures, and scalable system design. The manager is accountable for delivering stable, secure, AI-powered capabilities — not just managing execution.
Core Responsibilities
Technical Leadership & Architecture
Own product architecture, including AI/LLM-integrated componentsDesign scalable, secure, and maintainable systems
Lead decisions involving:
LLM integration (OpenAI, Azure OpenAI, etc.)RAG architectures and vector databasesAI orchestration frameworks (LangChain, Semantic Kernel, LlamaIndex)Ensure system reliability, observability, and cost efficiencyEstablish AI governance and safe usage practices
AI Framework & Methodology Expertise
Apply modern AI methodologies, including:Retrieval-Augmented Generation (RAG)Prompt engineering and evaluationAI output validation and guardrailsHuman-in-the-loop workflowsModel monitoring and performance evaluationDrive experimentation, A/B testing, and telemetry-based decision making
Team Leadership
Lead and mentor developers and QA engineersRaise AI literacy across the teamEstablish AI-native coding and review standardsBalance speed, quality, and architectural integrity
Delivery & Outcome Ownership
Own predictable, high-quality releasesEnsure AI features are measurable, validated, and production-readyAct as technical escalation pointDrive cross-team alignment with Product, Data, and DevOps
AI-Driven Engineering Excellence
Leverage AI-assisted development tools to improve velocityOptimize AI cost-performance tradeoffsEmbed automation into testing and CI/CD pipelinesRequirements
7+ years software engineering experience, 2+ years in technical leadershipHands-on experience building and deploying AI-enabled systems
Strong knowledge of:
LLM integration and prompt designRAG architectures and vector searchAI orchestration frameworksCloud platforms (Azure, AWS, or GCP)Experience designing scalable distributed systems
Preferred
Experience in regulated industriesAI governance and compliance knowledgeModel lifecycle management and monitoring tools