Agentic AI Engineer

Job Description Roles & Responsibilities 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. 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. Desired Candidate Profile 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. Company Industry IT - Software Services Department / Functional Area IT Software Keywords Agentic AI Engineer Get real-time job updates only on our App