Senior Full-Stack Developer (Node, AWS, LLM) PorT GF

Aspire Software is looking for a Senior Full-Stack Developer (Node, AWS, LLM) 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 Role

We’re seeking a Senior Full-Stack Developer who loves building production systems end-to-end. You’ll lead the engineering work to launch Sadie in a new vertical, owning critical services across voice, LLM orchestration (prompts/agents/RAG), and partner integrations. This is a hands-on role: designing architecture, writing high-quality code, instrumenting reliability and cost, and working closely with product and partnerships to ship real outcomes.

Key Responsibilities:

• Own services end-to-end for a new Sadie vertical: design, implement, test, deploy, and operate
• Build cloud services on AWS with serverless and containerized components (e.g., AWS Lambda, Docker, Fargate/ECS/EKS) for scalability and resilience
• Optimize performance & reliability for high-concurrency voice interactions (latency budgets, error budgets, observability)
• Measure what matters: set up metrics for containment/conversion, latency (p95), and cost per successful task
• Raise the bar: code reviews, design docs, mentoring, and contribution to on-call with clear SLOs
• Champion best practices in technical product development, scalability, and system design

• Bachelor’s degree in Computer Science, Engineering, or related technical discipline (or equivalent experience).
• Highly motivated software engineer/ developer with 5+ years of software engineering experience, with hands-on work in ML/AI systems
• Profound knowledge of JavaScript/TypeScript with a focus on building serverless and containerized applications
• Outstanding problem-solving skills and the ability to thrive under operational pressure
• AI-First mindset: Actively using Cursor/Windsurf or similar tools to accelerate software development, with an understanding of prompt engineering and agentic systems
• Strong interest in LLMs, agents, and applied GenAI in real-world environments
• Clear, concise communication; ability to turn ambiguous goals into stable designs

Good to have

• Experience with AI agents: Prior experience building and scaling AI agents based on modern LLMs
• Scripting and Automation: Proficiency in scripting languages and automation tools
• Advanced AWS Services Knowledge: Expertise in AWS technologies beyond the basics, such as AWS ECS, EKS, and Fargate