PpRemote within Europe, with quarterly one-week visits to the Vienna office /p h3About the Company /h3 pThey were recently recognized as one of Austria’s most exciting scale-ups. Having raised more than €15 million, they offer an ambitious and international team, an exciting AI-first product, and the opportunity to work with modern technologies while helping shape the future of finance. /p pThey empower business leaders to make better strategic decisions in financial management, reporting and planning. Their mission is to help companies connect, analyze, forecast and automate all their financial data in one place. /p pThey are backed by renowned investors, including Atlantic Labs, CommerzVentures and founders of Wefox, and are building the next generation of AI-native finance software. /p h3Your Mission /h3 pAs the company evolves into an AI-first and increasingly programmable finance platform, you will help connect their existing backend and data infrastructure with LLM-powered features, agents and self-service capabilities. /p pYou will work across backend, data and AI product engineering to make complex financial systems accessible through reliable APIs, tools and intelligent workflows. /p pThis is a hybrid engineering role. You do not need to be an expert in Backend Engineering, Data Engineering and AI Product Engineering from day one. They are looking for someone who is already strong in at least one of these areas and excited to develop across the others. /p pAt the company, Backend and Data Engineering work closely together. They believe engineers should understand both worlds and be able to move between teams and domains when needed. If your background is mainly in Backend Engineering, they will help you grow into Data Engineering. If you are primarily a Data Engineer, they will support your development into Backend and AI Product Engineering. /p pTheir goal is to build engineers with a broad understanding of the platform rather than narrow specialists. /p h3Your Responsibilities /h3 ul liDesign, build and maintain scalable backend services using Python. /li liDevelop new product features and reusable backend architectures. /li liBuild reliable APIs, integrations and business logic. /li liImprove system performance, reliability, security and maintainability. /li liIdentify technical bottlenecks and continuously improve the platform. /li liParticipate in architecture discussions and technical decision-making. /li liExpose existing system capabilities through clear, secure and well-structured interfaces. /li liDesign, build and maintain scalable ETL and ELT pipelines.



/li liDevelop and operate data workflows using AWS services such as Lambda, Step Functions, S3 and Batch. /li liContribute to the evolution of their data platform and Medallion Architecture. /li liEnsure data quality, consistency and reliability across pipelines and models. /li liOptimize data transformations for performance and cost efficiency. /li liBuild integrations with external systems, APIs and customer data sources. /li liMonitor pipelines, troubleshoot failures and improve observability. /li liDocument data models, transformations and architecture decisions. /li liBuild production-ready product features powered by large language models. /li liIntegrate LLMs into existing products, workflows, backend services and data systems. /li liExpose complex business logic, financial data models and system capabilities to AI models through structured APIs, tools and agent interfaces. /li liDesign reliable AI workflows using tool calling, structured outputs, retrieval and multi-step agent processes. /li liBuild agents that can understand user intent and safely interact with the company's data and product capabilities. /li liImplement validation, guardrails, permissions and fallback mechanisms for AI-generated outputs and actions. /li liEvaluate AI features across quality, reliability, latency, security and cost. /li liContribute to prompt design, context management and model selection. /li liHelp make the company increasingly self-service and programmable, enabling customers to create their own workflows, integrations, reports and planning models. /li /ul h3Cross-functional Collaboration /h3 ul liCollaborate closely with Product, Frontend and other engineers. /li liHelp shape architecture decisions across Backend, Data and AI. /li liTranslate product requirements into robust technical solutions. /li liWrite clean, maintainable, well-tested and well-documented code. /li liShare knowledge across teams and continuously improve engineering standards. /li liTake ownership from problem definition through implementation and production operation. /li /ul h3Your Skills /h3 h3Core Skills /h3 ul liExperience building and operating production software. /li liGood understanding of object-oriented programming and software design principles. /li liSolid SQL knowledge. /li liExperience with AWS.



/li liExperience with Git and CI/CD. /li liStrong analytical and problem-solving skills. /li liAbility to work independently and take ownership. /li liPassion for building scalable and reliable software. /li /ul h3Nice to Have /h3 ul liExperience with ETL or ELT pipelines. /li liExperience with dimensional data modelling. /li liUnderstanding of Medallion Architecture. /li liExperience with Docker and Kubernetes. /li liFamiliarity with GraphQL. /li liExperience with Terraform or Infrastructure as Code. /li liExperience with ClickHouse, Redshift or other analytical databases. /li liExperience working with JSON, CSV, Parquet and external APIs. /li liExperience building LLM-backed product features. /li liFamiliarity with RAG, embeddings, vector databases or semantic search. /li liExperience with agent frameworks, MCP or similar AI integration standards. /li liExperience evaluating or monitoring AI systems in production. /li liUnderstanding of security and permission models for AI-driven actions. /li /ul h3What They're Looking For /h3 pThey are looking for engineers who are curious, pragmatic and eager to learn. /p pYou may already be an experienced Backend Engineer looking to expand into Data and AI Product Engineering, or a Data Engineer interested in learning more about Backend systems and LLM-powered products. /p pYou do not need to cover every area from day one. What matters most is that you bring strong engineering fundamentals in at least one domain and are motivated to grow into the others. /p h3What matters most: /h3 ul liCuriosity and willingness to learn /li liOwnership and responsibility /li liPragmatic problem-solving /li liProduct thinking /li liA strong quality mindset /li liPassion for building useful products /li /ul h3What You Can Expect /h3 ul liJoin one of Europe’s most exciting AI-first finance start-ups. /li liTake significant ownership and responsibility from day one. /li liWork across Backend, Data and AI Product Engineering. /li liLearn from experienced engineers and continuously broaden your technical skill set. /li liShape the architecture of a modern AI-native finance platform. /li liBuild product capabilities that make complex financial workflows programmable and self-service. /li liWork with a highly motivated international team. /li liUse modern technologies and engineering practices. /li liWork from the office in the heart of Vienna or remotely with quarterly office weeks in Vienna. /li liReceive competitive compensation, equity participation and meaningful opportunities for personal and professional growth. /li /ul /p #J-18808-Ljbffr

📌 Back end developer (Italia)
🏢 Mentor Talent Acquisition
📍 Italia