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AI Systems Engineer (Agentic Development)
Soar
Riyadh, KSA
Full-time
Mid-Senior
Onsite
Discovered 2 weeks ago
LLM-based tools and workflowsAI-assisted and agent-driven systemsSoftware development lifecycleGoogle Cloud Platform or similar cloud environmentsCode review and validation across multiple languagesPrompt engineering
Free
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Ready to ScanKey skills for this role
LLM-based tools and workflowsAI-assisted and agent-driven systemsSoftware development lifecycle
Role Overview
The role operates at a higher abstraction level by designing, managing, and optimizing AI agents that generate code, workflows, and business logic.
The engineer ensures AI-generated outputs are correct, scalable, and aligned with business goals.
The role aims to reduce development time, improve output quality, and continuously refine agent performance.
Key Skills for This Role
LLM-based tools and workflowsAI-assisted and agent-driven systemsSoftware development lifecycleGoogle Cloud Platform or similar cloud environmentsCode review and validation across multiple languagesPrompt engineering
Full Job Posting
About Soar
Soar is a global fintech startup specializing in financing and investment.
The company develops financial and property investment solutions through a multi-purpose platform.
Role Summary
The role operates at a higher abstraction level by designing, managing, and optimizing AI agents that generate code, workflows, and business logic.
The engineer ensures AI-generated outputs are correct, scalable, and aligned with business goals.
The role aims to reduce development time, improve output quality, and continuously refine agent performance.
Key Responsibilities
- Design and manage agent-based development workflows.
- Oversee AI-generated code by validating, testing, refactoring, and productionizing it.
- 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.
- Translate mortgage and real estate business problems into AI-driven solutions.
- Establish best practices for multi-agent collaboration and orchestration.
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