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:

We are looking for an exceptional Senior AI Developer to join our R&D team. This is a high-impact, hands-on role for someone who doesn't just build AI systems — they think deeply about why they're being built, what success looks like, and how to verify it. You will lead the design and delivery of advanced AI capabilities across our product suite, working at the intersection of Large Language Models, MLOps, and enterprise integrations.

This role demands more than technical excellence. We're looking for someone who bring structured thinking to ambiguous problems, defines clear intent before writing a single line of code, and holds themselves and their team to verifiable, measurable outcomes.

Key Responsibilities

AI Development & Architecture

• Design, build, and iterate on production-grade AI systems leveraging LLMs and Generative AI technologies.
• Architect scalable MLOps pipelines covering model training, evaluation, deployment, monitoring, and retraining.
• Develop and maintain robust AI integrations via APIs, ensuring reliability, security, and performance at scale.
• Stay at the forefront of developments in LLM tooling, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG).

Planning & Outcome-Driven Delivery

• Lead high-quality planning processes that begin with clearly articulated intent — defining what we are trying to achieve and why before determining how.
• Define verifiable outcomes for every initiative: establishing measurable success criteria, evaluation benchmarks, and feedback loops to confirm that AI systems are performing as designed.
• Translate complex business requirements into well-scoped technical plans, with clear milestones, risk assessments, and decision points.
• Champion a culture of thoughtful, evidence-based development — where assumptions are tested, outcomes are tracked, and learnings are fed back into future work.

Collaboration & Leadership

• Work closely with product, engineering, and commercial stakeholders to align AI capabilities with real-world business needs.
• Mentor and guide junior developers, raising the overall standard of AI practice within the R&D team.