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Open nowPosted 53 days ago

AI Developer - PGR

Workable (global search)108,016 open roles

Where
Beirut, Lebanon
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Your applicationOpen nowAI Developer - PGRWorkable (global search) · Beirut, Lebanon

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 53 days ago

Workable (global search) median: 7 days open

The posting

Aspire Software is looking for a AI Developer 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:

This role sits at the center of that buildout. You’ll ship near-term product features while helping us make the right architectural decisions for what’s coming. We need someone who can execute and see around corners someone who understands both the product experience and the platform mechanics underneath it.

Key Responsibilities

  • Build and ship AI features using our PHP/MySQL/React/Node stack with OpenAI API integration.
  • Extend Astro Core chatbot capabilities new read/write actions, graph generation, analysis outputs.
  • Help improve the external MCP connector schema, authentication, capability surface.
  • Own prompt engineering for product features: design, test, iterate, and document prompts as first-class product artifacts.
  • Build the token metering and usage tracking layer per-feature, per-customer, per-tier.
  • Design and implement guardrails, access controls, and rate limiting across the Astro AI platform layer.
  • Contribute to agent architecture decisions: tool access, memory design, token pool isolation, training data boundaries.
  • Monitor AI feature performance in production latency, cost, output quality, failure modes and drive improvements.
  • Stay current on the AI tooling landscape and bring concrete recommendations to the team.

Requirements

AI Product Development

  • Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.
  • Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.
  • Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.
  • Experience building quality evaluation and output validation frameworks around AI features.
  • Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.

Platform & Architecture Thinking

  • Experience designing or contributing to metered usage systems — API rate limiting, consumption tracking, billing integration.
  • Familiarity with designing MCP (Model Context Protocol) — understanding of how LLM-native integrations differ from traditional REST.
  • Ability to reason about multi-tenant access controls: how AI features should behave differently across customer tiers.
  • Understanding of agent architecture patterns: tool registries, memory types, token pool management, task delegation.

Core Stack

  • React and Node: able to build frontend components that surface AI features, including data visualizations.
  • Solid PHP development experience — comfortable extending a production codebase, not just greenfield.
  • MySQL: schema design, query optimization, and data modeling for AI feature state and usage tracking.
  • Typescript: used on the backend of the MCP layerBachelor’s degree in computer science, Information Systems, Engineering or a related field.
  • 3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.
  • Strong understanding of Artificial Intelligence, Machine Learning, Generative AI, and automation concepts.
  • Strong presentation, communication, and stakeholder management skills.
  • Experience working directly with customers and senior business stakeholders.
  • Excellent problem-solving and analytical skills.
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