Soar is a general fintech startup that specializes in financing and investment. Currently headquartered in Saudi Arabia, Soar is growing throughout the region with a mission to help people achieve their financial goals with innovative financial and property investment solutions and tools through its multi-purpose platform, designed to offer a simple and seamless user experience.

Role Summary This role is for engineers who operate at a higher abstraction level. You will design, manage, and optimize AI agents that generate code, workflows, and business logic. Your responsibility is to ensure outputs are correct, scalable, and aligned with business goals.

You are expected

Reduce development time through AI

Improve output quality through validation and iteration

Continuously refine agent performance

Key Responsibilities

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 been described as AI workflows or similar emerging platforms

What Success Looks Like

Development cycles reduced significantly through AI leverage

High-quality outputs from agents with minimal rework

Clear frameworks for agent validation and monitoring

Engineers spend more time on problem-solving and innovation, less on manual coding.

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

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📌 AI Systems Engineer (Agentic Development) (Madrid)
🏢 Soar
📍 Madrid