Agentic AI Engineer
Job Fit Check
Base Career helps you apply smarter for this job.
Key skills for this role
About the Role
Abdulaziz Al-Zaid Professional Consulting is hiring a Senior Agentic AI Engineer to design and ship production-grade LLM agent systems that automate real workflows. You will build robust agentic workflows, implement evaluation and quality measurement, and integrate agents with business systems.
Key Skills for This Role
Responsibilities
- Design 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
- Support client facing AI delivery where needed (requirements, estimation, proof, rollout)
Requirements
- 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
Full Job Posting
Company & Role Overview
- Abdulaziz Al‑Zaid Professional Consulting (AZ) is building a scalable B2B SaaS platform that digitizes and automates regulated, document heavy professional workflows.
- 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 responsibilities
- Design 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 advantage
- Experience 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.
Location
- Riyadh, Saudi Arabia — On‑site (Full‑Time)
- Candidates outside Riyadh are welcome if able to relocate.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at شركة عبد العزيز الزيد للاستشارات المالية | Abdulaziz AlZaid Financial Consulting Company
مهندس ذكاء اصطناعي
Riyadh, KSA
Abdulaziz Al-Zaid Professional Consulting is hiring a Senior Agentic AI Engineer to design and ship production-grade LLM agent systems that automate real workflows. You will build robust agentic workflows, implement eval
Senior Gemologist – Jewelry & Precious Metals Laboratory Setup Lead
Riyadh, KSA
We’re Hiring: Senior Gemologist – Jewelry & Precious Metals Laboratory Setup Lead We are looking for an experienced Senior Gemologist to join our team and lead the establishment and operation of a professional laboratory
مدير إدارة مراجعة وتدقيق تقارير التقييم العقاري
Riyadh, KSA
مدير مراجعة تقييم وتدقيق وجودةخبرة في مراجعة تقارير التقييم وفق معايير ومتطلبات الهيئة السعودية للمقيمين المعتمدين تعلن شركة عبدالعزيز الزيد للاستشارات المالية عن توفر فرصة وظيفية بمسمى: مدير مراجعة تقييم وتدقيق وجودة لل
Head of financial Advisory
Riyadh, KSA
Head of Advisory – Financial Advisory Company: Abdulaziz Alzaid Financial Advisory Location: Riyadh, Saudi Arabia Employment Type: Full-time Seniority Level: Director / Senior Leadership Function: Financial Advisory, Cor