AI Backend Engineer (f/m/d)

paretos is the leading AI-based Decision Intelligence platform for effective, data-driven decisions across entire enterprises. Our Business Agents make it possible to evaluate complex data volumes, predict scenarios, and derive optimal actions — from demand forecasting and replenishment to strategic C‑level decisions. All through a code‑free interface, with no prior data science knowledge required. We are an inclusive company with equal opportunities for all. Our culture is guided by the principles of GUNG HO: meaningful work, shared goals, and mutual support. We are proud of a team of passionate, high‑performing, and caring people of all genders, cultures, and backgrounds. Job Overview As AI Backend Engineer, you work in a hybrid setup, with 1–2 days per week in our Heidelberg office, in close collaboration with Product, Forward Deployed/AI Engineers, and Data Scientists. Responsibilities You think in terms of impact and have a strong product mindset : you measure whether your features actually achieve adoption, observe usage patterns, and sharpen the next iteration together with Product and FDE. You design, build, and operate scalable backend services in Python with FastAPI and pydantic that productively support agent workflows, forecasting and replenishment. You design clean APIs between the platform, agents, ML models, frontend, and customer systems (ERP, BI, planning tools) and ensure robustness and observability. You build and extend our semantic data layer as the foundation for accurate forecasts and precise responses from our agents: modeling in PostgreSQL, transformations with dbt, pipelines, caching, and retrieval. You integrate LLM and agent systems deeply into the backend : tool use, function calling, RAG pipelines, eval frameworks for LLM outputs, guardrails, and production deployment. You work AI‑first . Claude Code, AI assisted code development, and subagents are part of your daily toolkit, and you continuously extend our internal setup (CLAUDE, hooks, skills, plan/execute/review loop, plugins, tooling, docs). You translate business and customer requirements into viable technical solutions together with FDEs and Product, and make pragmatic trade‑offs between speed, scalability, and maintainability . You prototype quickly and close to the user : you put new ideas into the hands of FDEs and customers in days rather than weeks, gather early feedback autonomously, iterate closely on the actual workflow, and decide based on real usage what is worth hardening and rolling out. Qualifications 2 to 5 years of professional experience as a Backend, Software, or AI Engineer in a product‑oriented environment – ideally in a product or SaaS context, startup experience welcome. Solid backend foundation : Python with FastAPI and Pydantic, clean API design, asynchronous programming, PostgreSQL and Redis, containerization with Docker, and experience with CI/CD pipelines. Strong product mindset : you don't just ask "How do I build this?" but "What are we building this for, for whom, and how will we know it has impact?" You think in terms of users, adoption, and chains of impact, not just tickets. Practical experience with LLMs and agent systems : prompt engineering, tool use/function calling, RAG, eval frameworks, and production deployment. Experience with cloud infrastructure , ideally AWS, as well as a good feel for Kubernetes and Infrastructure‑as‑Code with Terraform – you don't need to master everything in your sleep, but you should be able to move confidently in this space. High level of ownership, appetite for ambiguity, and motivation to continuously develop yourself in backend engineering, agentic engineering, and your product perspective. Clear, compelling communication , both technical and non‑technical, with low ego. Fluent English; bonus: native German or C1 level. Benefits Hardware setup you need to unlock your full potential. Personal learning budget (2000 € per year) to continuously develop yourself. Flexible working hours. Monthly benefit budget of 60 € that you can use however fits you best. Free snacks and drinks in the office at all times. Direct access to frontier AI developments and learning sessions in close exchange with our product development. Highly qualified and motivated team of paretoneers who get things done and have fun doing it. Quarterly Hacky Days, full of creativity and new ideas. Professional and social team events, both online and on site. For members of the paretos Dog Club, you are welcome to bring your four‑legged friend to the office. In the office, you can prove your barista skills and enjoy coffee conversations with other paretoneers. #J-18808-Ljbffr paretos