ppSoar is a integral 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. /p h3Role Summary /h3 pThis 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. /p h3You are expected /h3 ul liReduce development time through AI /li liImprove output quality through validation and iteration /li liContinuously refine agent performance /li /ul h3Key Responsibilities /h3 ul liDesign and manage agent-based development workflows /li liOversee AI-generated code: validate, test, refactor, and productionize /li liBuild systems to evaluate agent output quality and reliability /li liFine-tune prompts, tools, and pipelines to improve outcomes /li liIntegrate AI agents into the software development lifecycle (SDLC) /li liTranslate business problems (mortgage, real estate workflows) into AI-driven solutions /li liEstablish best practices for multi-agent collaboration and orchestration /li liMonitor performance, cost,



and accuracy of AI systems /li liWork across product and business teams to identify automation opportunities /li /ul h3Requirements /h3 ul liHands-on experience with LLM-based tools and workflows (e.g., Anthropic Claude or similar) /li liExperience building or managing AI-assisted or agent-driven systems /li liStrong understanding of modern SDLC with AI acceleration /li liExperience with Google Cloud Platform (GCP) or similar cloud environments /li liAbility to review and validate generated code across multiple languages /li liExperience with prompt engineering, evaluation loops, and model tuning /li liStrong system thinking: can design workflows, not just write functions /li /ul h3Preferred Experience /h3 ul liExperience with multi-agent systems and orchestration frameworks /li liFamiliarity with real estate or mortgage workflows (not required but valuable) /li liExperience with vector databases, RAG pipelines, or knowledge systems /li liExposure to tools like been described as AI workflows or similar emerging platforms /li /ul h3What Success Looks Like /h3 ul liDevelopment cycles reduced significantly through AI leverage /li liHigh-quality outputs from agents with minimal rework /li liClear frameworks for agent validation and monitoring /li liEngineers spend more time on problem-solving and innovation, less on manual coding. /li /ul h3Benefits /h3 ul liBuild an AI-first company from the ground up /li liWork on real-world, high-impact problems in real estate and mortgage /li liOperate in a fast, experimental, innovation-driven environment /li liShape how engineering is done—not just what is built /li /ul /p #J-18808-Ljbffr

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