Job Description

Aspire Software is looking for a AI Engineer 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:

How we work with AI

• AI is a teammate, not a magic wand. We expect you to use it daily for code generation, refactoring, debugging, and code review — and to be honest about its limits. Verify, don't trust blindly.
• Velocity matters. This is a one-developer project supporting a real HR team. We ship multiple changes per day and iterate based on direct user feedback. We do not do month-long rewrites.
• You own the judgment. Architecture, security, and data-correctness decisions are yours. AI tools accelerate execution; they don't replace thinking about edge cases (a single bad salary record can blow up a $50M number — ask me how I know).
• You'll work directly with the user. No PM, no ticket queue. Conversations happen in Teams or a short weekly sync. Bring context, ask before assuming, push back when needed.

What you'll do

• Refactor the frontend into a modular, component-based architecture (React / Vue / Svelte — your call, with reasoning). Preserve all existing functionality and visual design.
• Move data off disk to a real database (Postgres or our existing Supabase) with proper migrations and a query layer.
• Harden security. Replace the current token-based auth with proper session management, add MFA for admins, add audit logging for sensitive views, pen-test the upload endpoints.
• Set up CI/CD. GitHub Actions for linting, type-check, automated tests, preview deployments. Today every change goes straight to production.
• Add observability. Error tracking (Sentry or similar), basic uptime/perf monitoring, structured server logs.
• Document the data pipeline. From BambooHR weekly export → CSV upload → application state. Today this lives in scattered Python and JS.

Requirements

• 5+ years full-stack: modern JS/TS frontend framework, Node.js, Postgres, REST/JSON APIs.
• Strong opinions on incremental refactoring over rewrites. We can't afford a 6-month "stop the world" rebuild.
• Experience with auth (OAuth/SSO, RBAC), security best practices, and threat modeling.
• DevOps fluency: CI/CD pipelines, environment management, monitoring/alerting.
• Comfortable with charting libraries (Chart.js, D3, or similar).
• AI fluency. Daily use of AI coding tools (Claude Code, Cursor, Copilot, or similar) — comfortable shipping production code with AI in the loop, while exercising independent judgment on architecture and security. Bonus if you've built features that call LLM APIs directly (the existing
• Roster chatbot and the planned HR-Jira automation agent will benefit).

Nice to have

• HR or workforce-analytics domain experience.
• Experience with Render, Supabase, or BambooHR's API.
• Python (for the weekly export pipeline).

Success looks like, after 6 months

• Frontend split into a maintainable codebase with tests.
• Page-load and tab-switch times measurably faster (target: ≤1s for first meaningful paint).
• All data persisted in the database with migrations and backups.
• Auth + audit + monitoring in place; no production incidents from missing observability.
• Same HR team using it, no regressions, plus a documented runbook for future contributors.