Senior AI Engineer / Agentic AI Architect
تفاصيل الوظيفة
About CodeNinja
CodeNinja is a global software and AI infrastructure company that delivers full-stack technology solutions across AI, software engineering, data, and digital transformation. The company operates in Saudi Arabia and through global technology hubs, partnering with organizations across various industries to provide technology solutions that support business transformation and innovation. Teams at CodeNinja work in areas including AI, software engineering, data and analytics, cloud, enterprise technology, and digital transformation.
The Role: Senior AI Engineer / Agentic AI Architect
CodeNinja is seeking an experienced Senior AI Engineer / Agentic AI Architect to design, build, and deploy enterprise-scale AI solutions. This full-time role focuses on the banking and financial services sector, requiring 8-12 years of experience. The successful candidate will deliver production-grade AI applications with an emphasis on scalability, security, observability, governance, and performance, working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI.
Key Responsibilities
- Design and develop enterprise-grade AI solutions using modern LLMs and Agentic AI frameworks.
- Architect multi-agent systems capable of planning, reasoning, tool usage, and workflow orchestration.
- Build production-ready RAG platforms integrating structured and unstructured enterprise data.
- Design scalable APIs and AI services using Python and modern backend frameworks.
- Implement robust evaluation frameworks for LLM quality, safety, and performance.
- Optimize AI applications for latency, throughput, and infrastructure cost.
- Deploy and manage open-source LLMs in production environments.
- Collaborate with architects, product owners, business analysts, and DevOps teams to deliver enterprise AI platforms.
- Ensure compliance with enterprise security, governance, and responsible AI practices.
- Mentor engineering teams and contribute to AI best practices and reusable frameworks.
Expected Deliverables
The selected candidate will be capable of independently designing and delivering the following:
- Enterprise AI platforms
- Multi-agent AI systems
- RAG-based knowledge assistants
- AI copilots
- LLM evaluation frameworks
- Production-ready AI APIs
- AI observability and monitoring solutions
- Secure, scalable, and cost-optimized AI deployments suitable for enterprise production environments.
Qualifications and Experience
The ideal candidate will possess strong software engineering fundamentals and deep expertise in LLMs, RAG, Agentic AI, and modern AI engineering practices. A minimum of 5-10 years of relevant experience is required for this role.
Benefits
- Competitive compensation based on experience and qualifications.
- Opportunity to work on enterprise-scale technology and digital transformation projects.
- Exposure to banking, financial services, AI, data, and emerging technology environments.
- Professional growth and learning opportunities.
- Collaborative and technically driven work environment.
- Opportunity to work with experienced technology and consulting professionals.
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