Pling Solutions GmbH

Role Description You'll own Pling's architecture and code, strategy and execution. The role is hands-on and impact-driven: you contribute to product discussions alongside the founders, then own the full technical lifecycle — architecture, implementation, deployment, monitoring, and continuous improvement in production — with a focus on real-world reliability and business impact. Your mandate is to architect and ship the platform that takes Pling to the next 10x of customers and locations — AI-native by design, built to scale across multi-site groups across Europe — and to build the development pipeline that makes our shipping velocity hard to match. We believe a small, AI-augmented engineering team can outship teams five times its size. You'll prove that with us. What you'll do - Build complete features end-to-end — data model to API to UI - Own the technical direction — architecture, infrastructure, security, performance - Design and own the LLM pipelines that power Pling's AI features — prompt design, structured outputs, evals, monitoring, cost tracking - Set engineering standards across code and AI features — testing, CI/CD, observability, code review on one side; eval harnesses, regression checks, and quality metrics tied to business outcomes on the other - Define and lead the migration to our next-generation architecture — the stack choices are yours to shape - Build the development pipeline that makes our shipping velocity hard to match - Hire and lead — bring on the next engineer when the time is right, and define how the team works Qualifications - 6–9+ years building production software in fast-paced environments, with at least 2 years focused on LLM-powered features in production - Pragmatic about architecture and tradeoffs; you've learned that good engineering usually means removing complexity, not adding it - Comfort across the stack — backend center of gravity, but able to ship end-to-end - Production experience with Python, TypeScript/Node.js, and modern databases (SQL and NoSQL) - AI-native fluency - Deep practical understanding of LLM behavior: prompting, structured outputs, context window management, common failure modes, handling non-determinism, and writing evals that catch regressions before users do - Pragmatic about model selection — pick across providers (Claude, GPT, Gemini, open-weights) based on cost, latency, and quality tradeoffs for each use case - Know when not to reach for an LLM. A lot of good engineering is knowing when a regex, a lookup table, or deterministic code is the right answer. You hate AI slop as much as you love AI leverage. - Follow the field actively and adopt new tools when they earn it. Requirements - Builder mindset — you'd rather build than manage. AI excites you because it lets you ship at a scale you couldn't before. - Engineering excellence — code quality is a habit, not an afterthought: testing, review, quality gates - Strong on operational excellence: security, reliability, performance, observability - Confident with CI/CD and production deployments Collaboration - Clear communicator who explains technical trade-offs to founders, customers, and future hires - Balance speed, quality, and long-term sustainability in your decisions - Fluent English. German is a big plus — our customers operate in German Benefits - Strong traction in an attractive niche. - Profitable, growing fast, in a category few others are addressing. - An ambitious platform vision. - Horizontal expansion to other medical specialties and a vertical marketplace dimension both within reach. - Equity anchored at pre-fundraise valuation. - Dynamic, fast-paced environment with experienced founder-operators and domain experts — direct access, fast decisions. - AI-native team — everyone at Pling uses AI as a daily tool. - Remote-first today with regular team meetups in Berlin. Hybrid options as we open offices. - 30 days of PTO. Company Description Pling versetzt Zahnarztpraxen in den Autopiloten. Unsere KI-gestützte Plattform vereint Geräteverwaltung, Service-Tickets, Aufgaben und QM in einer App, erstellt Hygiene- und Wartungspläne selbst und erinnert zuverlässig an Fristen. So sparen Teams wöchentlich Stunden, vermeiden Technikereinsätze und bestehen jede Begehung gelassen – mehr Zeit für Patienten statt Papierkram. Pling puts dental practices on autopilot. The AI-driven platform combines device management, service tickets, task schedules and compliance in one app, auto-generates hygiene and maintenance plans and never lets deadlines slip. Teams save hours every week, cut engineer call-outs and sail through inspections – freeing them to focus on patient care, not paperwork.