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  "job_description": "Job Details\n• Job Title: Agentic Backend Engineer (Golang)\n• Location: Preferably in / near Vienna, or within a 2h time zone difference\n• Languages: English (fluent), and any other european language is a plus\n• Experience: Over 5 years of experience in backend development using Golang and other OOP languages, you will contribute to our SaaS platform, managing the full software lifecycle\n• Contract: No freelancing, full time\n\n🚀 Who We Are\n\nMillions of people interact with fiskaly every day, even if they don’t realize it. As a B2B company, we power the retail technology behind digital receipts and secure, legally compliant transactions.\n\nBy making receipts tamper-proof through digital signatures, we help fight tax fraud. And with our paperless receipt solution, we offer consumers a modern alternative while helping merchants streamline their operations.\n\nSure, our solutions sound complex but our mission is simple: make receipts easy for everyone.\n\n🎯 The Role\n\nIn this role, you aren’t just a \"Senior Dev.\" You are an Agentic Architect. You will design the frameworks that allow AI agents to write, test, and deploy our microservices.\n\nThe 90/10 Rule: We want you to spend 90% of your time designing the agents, the prompts, the feedback loops, and the system architecture. You should only be \"hands-on-keyboard\" for the final 10%, the precision tuning, the complex edge cases, and the creative perfection that AI cannot reach.\n\n🛠️ What You’ll Do\n• Agentic Orchestration: Design and implement multi-agent workflows (using frameworks like LangChain, LangGraph, or custom Go-based orchestrators) to automate the full software development lifecycle.\n• Build the \"Machine\": Create autonomous systems that take high-level requirements and output production-ready, strictly-typed Golang microservices.\n• Architect for Autonomy: Design system boundaries and APIs specifically so they are \"agent-friendly\", ensuring LLMs can navigate, understand, and extend our codebase without hallucinations.\n• Reliability Engineering: Implement robust verification loops. You will build the \"Judge\" agents that audit the \"Coder\" agents to ensure our fiscal signatures remain tamper-proof and legally compliant.\n• Human-in-the-Loop Design: Define the touchpoints where human expertise is most impactful, ensuring our transition to agentic engineering is seamless and safe.\n\n✨ What You Bring\n• The \"Force-Multiplier\" Mindset: You find writing boilerplate physically painful. You have a proven track record of using AI to do the work of five engineers.\n• Golang Mastery (5+ Years): You know Go well enough to know exactly when an agent has produced \"hallucinated garbage\" vs. \"idiomatic excellence.\"\n• Systems Thinking: Deep experience in distributed systems, Kubernetes, and Cloud-Native DNA. You understand how to wrap agents around complex infra.\n• Agentic Experience: You have experimented with or deployed multi-agent setups. You understand the difference between a simple \"prompt\" and a \"recursive autonomous loop.\"\n• Obsession with Perfection: Since you only write 10% of the code, that 10% must be flawless. You are a master of the \"final polish.\"\n\n💡 What We Offer\n• A culture that encourages you to use the latest tech. If an AI tool helps you code 20% faster, we want you to use it\n• A supportive environment where you can try new things, fail safely, and learn constantly\n• Flexible working hours and a hybrid work arrangement (Office in Vienna/Berlin/Madrid/Milan or Remote)\n• Work permit sponsorship for qualified candidates\n• A dedicated budget for personal and professional development and regular 1:1 career planning\n• Company hardware of your choice (Windows, Linux, or Mac)\n• A vibrant, inclusive company culture that values your well-being and personal growth\n\n💡 Why fiskaly\n\nJoining fiskaly means contributing to a mission-driven company that is redefining how compliance is done in Europe and beyond. Here, you’ll grow, innovate, and make a real impact on the finance operations of a scaling SaaS company.",
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  "job_posted_at_datetime_utc": "2026-03-05T00:00:00.000Z"
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