webook. com
Entertainment
AgenticAIEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Agentic AI Engineer at webook. com. Skills: Agentic AI, LangChain/CrewAI, RAG, Python, Systems thinking, Security & safety for agents. Build multi-step, tool-using agents that plan, retrieve, act, and verify. Design agent architectures”
What You'll Achieve.
Task success; Autonomy depth; Recovery rate; Reliability; Determinism; Cost optimization
Industry & Context.
Systems thinking: queues, retries, idempotency, caching, concurrency control; Recovery rate
What They're Looking For.
Must Have
Production experience with LangChain/CrewAI (or similar) and function/tool calling, Python async 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 Have
GCP/AWS, Docker/Kubernetes; message buses/streams, LLM evaluation synthetic data generation, Graph-based planning, constraint solvers, or program-of-thought techniques
What You'll Do.
tool-using agents that plan
Design agent architectures
Deliver robust execution with safety and observability
Architect agent loops (planning
Implement tools (functions/APIs/DB queries/files) and MCP-style interfaces
Combine RAG with agents: chunking
Add guardrails: execution sandboxes
Build evaluation for agents (task success
Optimize for reliability
determinism where needed
Full Job Description
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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