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Location
Remote (Jordan)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on May 14, 2026. Webook scores D on the Alion truth index.

Overview
Company
Impact
Profile match
webook is a Saudi event ticketing and experience booking platform based in Riyadh that sells tickets for concerts, sports, festivals and attractions and serves event organisers and venue operators. It has handled ticketing for some of the largest mega events in the kingdom, reports cumulative sales of more than 2 billion, and is expanding abroad with teams in Jordan, Morocco and Portugal. It hires software, DevOps and AI automation engineers, prompt engineers, sales and partnership staff, contact center agents and leads, HR and office managers, legal analysts and Tamheer interns in Saudi Arabia.

Do you want to love what you do at work? Do you want to make a difference, an impact, and transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?

If yes, then this is the job you are looking for , webook.com is Saudi’s #1 event ticketing and experience booking platform in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion in sales.

Role Overview

Build multi-step, tool-using agents that plan, retrieve, act, and verify. You’ll design agent architectures, integrate tools/APIs, and deliver robust execution with safety and observability.

Key Responsibilities:

    • 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, PII policies.
    • Build evaluation for agents (task success, autonomy depth, recovery rate).
    • Optimize for reliability, determinism where needed, and cost.

Requirements

  • Production experience with LangChain/CrewAI (or similar) and function/tool calling.
  • Strong Python engineering; async patterns; robust error handling.
  • Practical RAG skills: vector DBs, indexing pipelines, and retrieval quality tuning.
  • Systems thinking: queues, retries, idempotency, caching, concurrency control.
  • Security & safety for agents (prompt injection, tool scoping, least privilege).

Nice-to-Haves

  • GCP/AWS, Docker/Kubernetes; message buses/streams.
  • LLM evaluation frameworks; synthetic data generation.
  • Graph-based planning, constraint solvers, or program-of-thought techniques.
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