Agentic AI Engineer

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.

Originally posted on Himalayas