About the job
Aspire Software is actively seeking a talented Senior AI Developer to become an integral part of our innovative team in Lebanon.
About Aspire Software: At Aspire Software, we specialize in managing and operating our own software companies, delivering vital solutions across various industries. By adhering to industry-leading practices, we ensure a swift integration process and leverage a decentralized model that fosters rapid growth through reinvestment in our portfolio.
Job Overview: We are in search of an outstanding Senior AI Developer to enhance our R&D team. This position offers a significant opportunity for someone who not only constructs AI systems but also contemplates their purpose, defines success metrics, and validates outcomes. You will spearhead the design and implementation of cutting-edge AI functionalities across our product lineup, focusing on Large Language Models, MLOps, and enterprise integrations.
Success in this role requires more than just technical prowess; we are looking for an individual who applies structured reasoning to complex challenges, articulates clear objectives prior to coding, and holds themselves and their team accountable to measurable, verifiable results.
Key Responsibilities:
AI Development & Architecture
- Design, develop, and refine production-quality AI systems utilizing LLMs and Generative AI technologies.
- Architect scalable MLOps pipelines for model training, evaluation, deployment, monitoring, and retraining.
- Create and maintain reliable AI integrations through APIs, ensuring security, performance, and scalability.
- Keep abreast of advancements in LLM tooling, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG).
Planning & Outcome-Driven Delivery
- Lead meticulous planning processes that commence with clearly defined objectives — articulating what we aim to achieve and why before determining the methodology.
- Establish verifiable outcomes for each project: defining measurable success criteria, evaluation benchmarks, and feedback mechanisms to ensure AI systems perform as intended.
- Translate intricate business needs into well-defined technical plans, incorporating clear milestones, risk assessments, and decision-making points.
- Promote a culture of thoughtful, evidence-based development — where hypotheses are tested, results are monitored, and insights are integrated into future projects.
Collaboration & Leadership
- Collaborate closely with product, engineering, and commercial teams to align AI capabilities with actual business requirements.
- Guide and mentor junior developers, elevating the overall standards of AI practices within the R&D team.

