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