AI Systems Engineer – Agentic Development

🕒 April 21

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Soar

WebsiteLinkedInAll Job Openings

51 - 200 employees

💳 Fintech

🏠 Real Estate

Fintech • Real Estate

Soar is a global fintech platform headquartered in Riyadh that simplifies finances and amplifies investments by enabling individuals and businesses to invest in real estate development projects, raise funds, and monitor cash flow. The platform offers property investment products, funding/loan solutions, investor and business profiles, a revenue calculator, SSO, and a mobile app, while emphasizing security, compliance (including Shariah compliance and licensing by the Central Bank of Saudi Arabia), and custodial arrangements with leading financial institutions.

📋 Description

• Design and manage agent-based development workflows • Oversee AI-generated code: validate, test, refactor, and productionize • Build systems to evaluate agent output quality and reliability • Fine-tune prompts, tools, and pipelines to improve outcomes • Integrate AI agents into the software development lifecycle (SDLC) • Translate business problems (mortgage, real estate workflows) into AI-driven solutions • Establish best practices for multi-agent collaboration and orchestration • Monitor performance, cost, and accuracy of AI systems • Work across product and business teams to identify automation opportunities

🎯 Requirements

• Hands-on experience with LLM-based tools and workflows (e.g., Anthropic Claude or similar) • Experience building or managing AI-assisted or agent-driven systems • Strong understanding of modern SDLC with AI acceleration • Experience with Google Cloud Platform (GCP) or similar cloud environments • Ability to review and validate generated code across multiple languages • Experience with prompt engineering, evaluation loops, and model tuning • Strong system thinking: can design workflows, not just write functions • Preferred Experience • Experience with multi-agent systems and orchestration frameworks • Familiarity with real estate or mortgage workflows (not required but valuable) • Experience with vector databases, RAG pipelines, or knowledge systems • Exposure to tools like “antigravity”-style AI workflows or similar emerging platforms

🏖️ Benefits

• Build an AI-first company from the ground up • Work on real-world, high-impact problems in real estate and mortgage • Operate in a fast, experimental, innovation-driven environment • Shape how engineering is done—not just what is built