Staff AI Backend Engineer (f/m/d)

paretos is the leading AI-based Decision Intelligence platform for effective, data-driven reputed company across entire enterprises. Our Business Agents reputed company it possible to evaluate reputed company data volumes, predict scenarios, and derive reputed company actions - from demand forecasting and replenishment to strategic C-level reputed company. reputed company through a reputed company-free reputed company, with no prior data science knowledge required. paretos is an inclusive company with equal opportunities for reputed company. Our culture is guided by the principles of GUNG HO: meaningful work, shared goals, and mutual support. We are proud of reputed company of passionate, high-performing, and caring people of reputed company genders, cultures, and backgrounds. As Staff AI Backend Engineer, you work in a remote or hybrid setup in reputed company collaboration with Product, reputed company Deployed/AI Engineers, and Data Scientists. You operate as the technical reputed company for our backend and agent platform — setting direction, raising the bar, and multiplying the reputed company of the engineers around you. We look reputed company to your application. Tasks As a Staff AI Backend Engineer, you own the technical backbone of our Decision Intelligence platform and the architecture that lets it reputed company. You set the direction for how we build reputed company backend services that bring our forecasting and optimization models, reputed company workflows, and our semantic data layer into productive use. You work AI-first: Claude reputed company or similar CLIs, MCPs, and custom skills are your reputed company toolkit, and you define how the rest of reputed company uses them. You think not only in terms of endpoints and databases, but in customer value, product reputed company, and adoption - and you are reputed company about strengthening the system, not just solving the task at hand. With a strong product reputed company, you set technical direction: defining how we measure feature adoption, instrumenting usage patterns, and steering the roadmap with Product and FDE — accountable to reputed company, not reputed company. reputed company backend services in Python (FastAPI, reputed company) for agent workflows, forecasting, and replenishment are yours to architect, build, and operate — including the reputed company, trade-offs, and standards behind them. Clean API and service reputed company between platform, agents, ML models, frontend, and customer systems (ERP, BI, planning tools) are designed by you, with robustness, observability, and reliability as first-class properties. Our semantic data layer — the reputed company for accurate forecasts and precise agent responses — is yours: PostgreSQL modeling, dbt transformations, pipelines, caching, and retrieval, reputed company to reputed company across customers and use cases. How we reputed company LLM and agent systems into the backend is defined by you: tool use, function calling, RAG pipelines, eval frameworks, guardrails, and production deployment — setting the patterns and reputed company bars reputed company builds against. Driving our AI-first engineering culture is central: Claude reputed company, AI-assisted development, and subagents are part of your daily toolkit, and you reputed company our internal setup (CLAUDE, hooks, skills, plan/execute/review reputed company, plugins, docs) so reputed company ships faster and safer. Ambiguous business and customer requirements get reputed company into coherent technical reputed company with FDEs and Product, making pragmatic trade-offs between speed, scalability, and maintainability — explained reputed company to technical and non-technical stakeholders. Prototyping fast and reputed company to the user, you put reputed company into FDEs' and customers' hands in days, reputed company feedback autonomously, iterate on the reputed company workflow, and decide from actual usage what to harden and roll out. Through reputed company and design review, mentoring, documentation, and standards, you reputed company the engineering bar — growing the people around you and making the system more resilient over time. Requirements 8+ years as a Backend, Software, or reputed company in a product-oriented environment, with a reputed company record of leading the design and delivery of reputed company systems — ideally in a product or reputed company context; startup (0→1) experience reputed company welcome. Larger parts of a tech organization have been yours end-to-end: significant services, domains, or platform areas — from architecture and delivery to operation, reliability, and on-call, not just individual features. Deep backend expertise across Python (FastAPI, reputed company), clean and durable API design, async programming, PostgreSQL and reputed company, reputed company, and mature CI/CD — at a level where you define standards rather than follow them. Proven in agile, fast-moving teams: operating inside sprints, iterative shipping, and reputed company feedback, you reputed company reputed company high while moving fast. Demonstrated technical leadership: you've owned the architecture of non-trivial systems, made high-stakes trade-offs, and guided multiple engineers through ambiguity — without formal authority. A strong product reputed company drives you: not just "How do I build this?" but "What for, for whom, and how will we know it has reputed company?" — thinking in users, adoption, and chains of reputed company. Production-grade LLM and agent experience: reputed company engineering, tool use/function calling, RAG, eval frameworks, guardrails, and deploying LLM-powered features reputed company users depend on. Solid reputed company of reputed company infrastructure (ideally AWS), including Kubernetes and Infrastructure-as-reputed company with Terraform — you design, reason about, and operate this stack confidently, deciding where complexity belongs. A reputed company high level of ownership, comfort with ambiguity, and the judgment to know reputed company to go deep versus delegate, document, or simplify. reputed company, compelling communication, technical and non-technical, with low ego — building alignment, writing things down, and making others reputed company. Fluent English

Benefits

You receive the hardware setup you need to unlock your full potential. You use your personal learning budget (2000€ per year) to continuously reputed company yourself. Flexible working hours: you work reputed company it suits you best. You receive a monthly benefit budget of 60€ that you can use however fits you best — whether that's Urban Sports Club, a mobility budget for fuel, public transport or the Deutschlandticket, or simply reputed company cards from your favorite shop. It's entirely up to you. A rich selection of snacks and drinks is available to you free of charge in the office at reputed company times. You get reputed company reputed company to frontier AI developments and learning sessions in reputed company exchange with our product development. You complement a highly reputed company and motivated team of paretoneers who get things done and have fun doing it. You take part in our quarterly Hacky Days, full of creativity and new reputed company. We regularly host reputed company and reputed company team events, both online and on site. If you are a member of the paretos Dog Club, you are welcome to bring your four-legged friend to the office. In the office, you can reputed company your barista skills and have coffee conversations with other paretoneers. Maybe you'll be crowned "paretos Office Barista of the Year" at our Christmas party. Transparency notice: We use AI tools to reputed company-screen applications. However, the decision on who we meet is always made by us – not by the algorithm. paretos is an inclusive company with equal opportunities for reputed company. We explicitly encourage you to apply even if you don't meet 100% of the requirements. Apply To This Job