Product Engineer (Backend/AI @Briink)

Join Briink, a mission-driven company focused on sustainability and climate action. As a Backend/AI Product Engineer, you will be part of a small, high-ownership team building AI-powered products for sustainability professionals. You will take meaningful product problems from initial discovery to deployment at scale, design and build scalable backend systems, and improve the robustness of our systems. You should have strong backend engineering experience, API and systems design skills, and a solid software-quality mindset.

• Concevoir et construire des systèmes backend évolutifs, y compris des API, des modèles de données, des flux de travail et des infrastructures pour des produits d'entreprise complexes.
• Posséder des fonctionnalités de produit de bout en bout, de la compréhension du problème utilisateur à la livraison, à la mesure et à l'amélioration.
• Collaborer étroitement avec d'autres ingénieurs, y compris par le biais de la programmation en binôme, des discussions sur la conception technique et la résolution de problèmes partagés.
• Fluent English (C1+), both written and spoken
• Strong professional backend engineering experience, with a track record of designing and shipping reliable production systems
• Strong API, database, and systems design skills, with the ability to model complex workflows and build maintainable foundations for enterprise products
• Cloud and container experience, with an understanding of how to deploy, operate, and scale production workloads
• Strong experience in Python (or another modern backend language such as Java, Ruby, or TypeScript, combined with the ability and willingness to become productive in Python quickly)
• A solid software-quality mindset, including testing, code review, CI/CD, observability, and pragmatic approaches to reliability and security
• Experience in a small, high-ownership product team, ideally within a startup or scale-up engineering organisation of roughly 5–20 engineers
• Evidence that you have shipped meaningful products end to end, rather than owning only a narrow component within a much larger organisation
• Applied AI/LLM experience: you have experience or a strong interest in LLM-powered features, ideally involving RAG or retrieval, tool use, agents, structured outputs, or evaluation systems
• Sharp and curious: You learn quickly, ask good questions, and enjoy getting to the root of difficult product and technical problems
• Pragmatic and action-oriented: You can move from ideas to experiments to production without waiting for perfect requirements
• Opinionated but open-minded: You challenge ideas constructively, welcome pushback, and enjoy thinking through problems with others
• A product-minded builder: You think beyond the task in front of you, focus on the user’s real problem, and care about whether what you ship creates value
• Kind and collaborative: You treat people well, communicate clearly, and help create a supportive, low-ego team environment
• Mission-driven: You care about using technology to accelerate sustainability and climate action
• Commercially aware and creative: You balance technical quality with user needs, business value, and speed
• Highly self-directed: You thrive in a fast-moving environment with autonomy, ambiguity, and limited oversight
• If your experience doesn’t align precisely with all the criteria, don't worry! We encourage you to still apply. Many people miss out on opportunities because they feel they don’t fit every requirement—we believe in attitude, growth and iteration, not perfection!
• Experience building workflow, reporting, questionnaire, or other complex B2B SaaS products
• German language skills
• Experience improving latency, cost, and reliability for AI workloads
• Any experience with LangChain, LangSmith, or other LLM frameworks
• Knowledge of ESG, sustainability, climate tech, or corporate reporting
• Deeper experience with RAG, retrieval, agents, LLM evaluation, and production AI systems
• Familiarity with backend technologies such as FastAPI, PostgreSQL, background queues