Hybrid AI Developer

at Aspire Software

• Job title: AI Developer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Docker, Google Cloud Platform, Kubernetes, Python, PyTorch
• Location requirements: Hybrid, Beirut, Lebanon

About the role

• Senior AI Developer leading AI systems design at Aspire Software in Lebanon. Collaborating with teams to create innovative AI-driven solutions and mentoring junior developers.

Responsibilities

• 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).
• 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.
• 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.

Requirements

• Proven experience as a senior-level developer with a strong focus on AI/ML systems in
• production environments.
• Deep hands-on expertise with LLMs and Generative AI (e.g. OpenAI, Anthropic, open-source models), including prompt engineering, fine-tuning, and evaluation.
• Solid experience with MLOps practices and tooling (e.g. MLflow, Weights & Biases, Kubeflow, or similar).
• Strong proficiency in building and consuming AI-powered APIs and integrations.
• Demonstrated ability to plan and deliver complex projects with clearly defined intent and measurable outcomes.
• Excellent communication skills — able to articulate technical decisions and trade-offs to both technical and non-technical audiences.
• Proficiency in Python and relevant AI/ML frameworks (e.g. LangChain, LlamaIndex, PyTorch, or similar).
• Desirable
• Experience in the hospitality technology sector or other enterprise SaaS environments.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerisation (Docker, Kubernetes).
• Experience with vector databases (e.g. Pinecone, Weaviate, pgvector) and RAG architectures.
• Background in applied research or a track record of bridging research and production engineering.