Agentic AI Engineer: Architect Intelligent Agent Tools

Webook; Saudi Arabia; On-site; SAR 180,000 - 320,000; Full time

Job summary

Webook, Saudi Arabia’s leading event ticketing and experience platform, seeks an AI/ML engineer to design and implement multi-step agents that can plan, retrieve, act, and verify with robust safety and observability. You will craft agent loops and tooling, integrating LangChain-like workflows and tool calling.

Responsibilities include combining RAG with agents, building evaluation methods, and optimizing for reliability, safety, and cost while working with cloud services and containerized

Qualifications

• Strong Python engineering skills with async patterns and robust error handling.
• Practical RAG skills: vector databases, indexing pipelines, and retrieval quality tuning.
• Systems thinking: queues, retries, idempotency, caching, and concurrency control.
• Security and safety for agents (prompt injection, tool scoping, least privilege).

Responsibilities

• Build multi-step tool-using agents that plan, retrieve, act, and verify.
• Architect agent loops (planning, memory, retrieval, tool use, self-verification).
• Implement tools, functions, APIs, DB queries, files, and MCP-style interfaces.
• Combine RAG with agents (chunking, embeddings, retrieval, reranking, grounding).
• Add guardrails, execution sandboxes, permissions, rate limits, and PII policies.
• Build evaluation methods for agent task success, autonomy depth, and recovery rate.
• Optimize for reliability, determinism where needed, and cost.

Skills

Python engineering

Async patterns

Error handling

Agent tooling & safety

RAG fundamentals

Tools

GCP

AWS

Docker

Kubernetes

Message buses/streams

Job description

Webook, Saudi Arabia’s leading event ticketing and experience platform, seeks an AI/ML engineer to design and implement multi-step agents that can plan, retrieve, act, and verify with robust safety and observability. You will craft agent loops and tooling, integrating LangChain-like workflows and tool calling.

Responsibilities include combining RAG with agents, building evaluation methods, and optimizing for reliability, safety, and cost while working with cloud services and containerized