AI Systems Engineer — Agentic Development & Automation
Soar
Madrid
Presencial
EUR 40.000 - 70.000
Jornada completa
14 días+
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Ventajas ofrecidas por este puesto de trabajo
Work on real-world, high-impact problems
Fast, experimental, innovation-driven environment
Build an AI-first company from scratch
Descripción de la vacante
Soar, a global fintech startup based in Madrid, is looking for engineers to design, manage, and optimize AI-driven systems. This role involves ensuring correct and scalable outputs that align with business goals while working across product teams to identify automation opportunities. Candidates should have hands-on experience with LLM tools, modern software development lifecycles, and cloud platforms. The position offers a chance to build an AI-first company addressing real-world financial problems.
Formación
Hands-on experience with LLM-based tools and workflows.
Experience building or managing AI-assisted or agent-driven systems.
Strong understanding of modern SDLC with AI acceleration.
Experience with Google Cloud Platform 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.
Responsabilidades
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.
Translate business problems into AI-driven solutions.
Establish best practices for multi-agent collaboration.
Monitor performance, cost, and accuracy of AI systems.
Work across product and business teams to identify automation opportunities.
Descripción del empleo
Soar, a global fintech startup based in Madrid, is looking for engineers to design, manage, and optimize AI-driven systems. This role involves ensuring correct and scalable outputs that align with business goals while working across product teams to identify automation opportunities. Candidates should have hands-on experience with LLM tools, modern software development lifecycles, and cloud platforms. The position offers a chance to build an AI-first company addressing real-world financial problems.
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