Lead Software Developer
Aspire Software
full-time
Posted on:
Location Type: Hybrid
Location: Beirut • Lebanon
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Job Level
About the role
- Own product architecture, including AI/LLM-integrated components
- Design scalable, secure, and maintainable systems****Lead decisions involving:
- LLM integration (OpenAI, Azure OpenAI, etc.)
- RAG architectures and vector databases
- AI orchestration frameworks (LangChain, Semantic Kernel, LlamaIndex)
- Ensure system reliability, observability, and cost efficiency
- Establish AI governance and safe usage practices
- Apply modern AI methodologies, including:
- Retrieval-Augmented Generation (RAG)
- Prompt engineering and evaluation
- AI output validation and guardrails
- Human-in-the-loop workflows
- Model monitoring and performance evaluation
- Drive experimentation, A/B testing, and telemetry-based decision making
- Lead and mentor developers and QA engineers
- Raise AI literacy across the team
- Establish AI-aware coding and review standards
- Balance speed, quality, and architectural integrity
- Own predictable, high-quality releases
- Ensure AI features are measurable, validated, and production-ready
- Act as technical escalation point
- Drive cross-team alignment with Product, Data, and DevOps
- Leverage AI-assisted development tools to improve velocity
- Optimize AI cost-performance tradeoffs
- Embed automation into testing and CI/CD pipelines
Requirements
- 7+ years software engineering experience, 2+ years in technical leadership
- Hands-on experience building and deploying AI-enabled systems
- Strong knowledge of:
- LLM integration and prompt design
- RAG architectures and vector search
- AI orchestration frameworks
- Cloud platforms (Azure, AWS, or GCP)
- Experience designing scalable distributed systems
- **Preferred**
- Experience in regulated industries
- AI governance and compliance knowledge
- Model lifecycle management and monitoring tools
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI integrationLLM integrationRAG architecturesvector databasesAI orchestration frameworksprompt engineeringmodel monitoringA/B testingCI/CD pipelinesscalable distributed systems
Soft Skills
technical leadershipmentoringcross-team alignmentcommunicationdecision makingAI literacyquality assuranceproblem solvingcollaborationorganizational skills