Agentic AI Engineer

Abdulaziz Al‑Zaid Professional Consulting (AZ) is building a scalable B2B SaaS platform that digitizes and automates regulated, document-heavy professional workflows — from client intake and structured data capture to quality controls, approvals, and controlled report issuance — integrated with CRM, analytics, and enterprise systems.We are hiring a hands‑on Senior Agentic AI Engineer to design and ship production‑grade LLM agent systems that automate real workflows (not demos). You will work closely with leadership and a lean engineering team to deliver AI capabilities that are measurable, reliable, secure, and commercially deployable.What you’ll deliver (outcomes)Ship production LLM/agent capabilities that reduce manual effort across intake, validation, evidence extraction, drafting, QA checks, routing, and approvals.Build robust agentic workflows (tool use, routing, state management) with reliability patterns (timeouts, retries, fallbacks) and clear observability.Implement evaluation and quality measurement (offline tests + online monitoring) to continuously improve accuracy, safety, and cost performance.Package repeatable AI solutions that can be deployed internally and offered to clients as deliverables (scoping → delivery → measurable outcomes).Key responsibilitiesDesign and implement multi‑step / tool‑using LLM workflows (function calling, external APIs, RAG, structured outputs).Build reusable orchestration patterns (routing, memory/state, task decomposition, guardrails, error recovery).Own LLMOps: deployment, monitoring, prompt/version management, evaluation harnesses, cost/latency control.Integrate agents with business systems (CRM, document/report pipelines, approvals, analytics) using secure APIs and role/permission models.Establish engineering standards for AI delivery: testing, reliability, logging, incident response, and measurable KPIs (quality, cycle time, adoption).Support client-facing AI delivery where needed (requirements, estimation, proof, rollout).Must‑have (we will screen for this)Proven track record shipping LLM/agent systems into production (not only POCs).Strong experience with tool‑using agents: function calling, API integrations, RAG, structured outputs, and reliability patterns.Hands‑on Python development (production code, services, testing, integrations).Strong understanding of backend systems, APIs, auth, data stores, and production operations.Ability to work fast with a lean team and own delivery end‑to‑end.Strong advantageExperience in regulated / auditable workflows (approvals, audit trails, evidence, controlled issuance).Azure-based delivery experience (or equivalent cloud), including CI/CD and monitoring.Familiarity with agent orchestration frameworks (LangGraph / Semantic Kernel / AutoGen / CrewAI or similar).Experience building AI-enabled products with evaluation and measurement discipline.LocationRiyadh, Saudi Arabia — On‑site (Full‑Time)Candidates outside Riyadh are welcome if able to relocate.How to applyEmail jobs@azv.sa with:CVLinks or brief evidence of shipped work (GitHub, demos, case summaries — redacted if needed)Your monthly all‑in compensation expectation + notice periodEmail subject: Senior Agentic AI Engineer – Riyadh#Hiring #Riyadh #SaudiArabia #AIEngineer #LLM #GenAI #AgenticAI #MultiAgent #RAG #FunctionCalling #Python #Azure #SaaS #B2B