Senior Staff Engineer (Cloud-Native Gen AI Development)

Requirements

• Experience : 7.5+ Years

• Mandatory hands-on Python coding capability for building production-grade GenAI, ML, and RAG pipelines.

• Demonstrable experience in building agentic workflows, RAG optimizations, and scalable LLM integrations.

• Strong foundation in traditional ML and data science, including feature engineering, model tuning, and statistical evaluation.

• Proven experience using Compass AI services in production-grade projects.

• Experience in building and optimizing ML pipelines on Azure.

• Good command of the Arabic language (verbal and written) is a plus.

Responsibilities

• Lead the engineering, deployment, and scaling of enterprise-grade AI platforms, including Conversational AI, LLM-based agents, and multi-agent orchestration frameworks.

• Design, code, and implement reusable frameworks, APIs, and SDKs for scalable enterprise consumption of AI capabilities.

• Build production-grade GenAI/RAG/ML systems, implementing RAG pipelines, vector database integrations, and knowledge graph-based retrieval.

• Own MLOps for LLM/ML workloads, including CI/CD, monitoring, retraining, observability, performance tuning, and drift detection.

• Rapidly translate new research into applied solutions and experiment with emerging tools and techniques.

• Evaluate AI frameworks and recommend enterprise adoption strategies.

• Mentor and guide AI engineers, fostering a culture of experimentation and engineering excellence.

• Lead end-to-end delivery of AI projects, managing risks related to performance, model drift, latency, and integration.

• Ensure engineering quality through regular code and design reviews and coordinate with data scientists, platform teams, and stakeholders.

• Own UAT planning, test case development, defect triaging, and ensure production rollout readiness.

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.