Product Engineer (BackendAI) Briink

AtBriink were building AI technology for the global sustainability economy. We work with the worlds largest climate organizations including CDP and PRI and multinational companies such as Bayer Siemens Commerzbank and Heidelberg Materials.

Our technology helps automate how sustainability data is collected analyzed verified and acted on. Through our work with global climate organizations what you build at Briink will directly impact the sustainability workflows of more than 30000 companies investors and cities worldwide.

Were a small team working at enormous scale. Your code wont sit behind an internal tool or an experimental demo it will help shape how some of the worlds largest organizations understand and act on their environmental impact. Based at Berlins AI Campus with a second office in London and backed by over 7 million in funding we want to prove that some of the worlds most powerful technology can also be a powerful force for good.


As part of your application please submit a shortintro video (max 2 minutes) answering:

1. Who you are and what you have done/built that is relevant for this role.
2. Why youre excited about owning and shipping AI-powered products at Briink.
3. Why Briinks sustainability mission resonates with you.

Upload your video using this form (YouTube unlisted Loom or any other solution is fine). We do this to get a better sense of candidates before continuing the process. Any application without a video will not be considered ;)

As BriinksBackend/AI Product Engineer youll join a small high-ownership product and engineering team building AI-powered products for sustainability professionals.

This is not a narrowly scoped backend role. Youll take meaningful product problems from initial discovery and user conversations through technical design implementation and iteration to deploy them at scale across the ESG market. Youll combine strong backend and AI/LLM engineering with product judgement and the initiative to work out what should be built - not just how to action a predefined ticket.

You will:

• Own product features end to end from understanding the user problem and defining the right approach through to delivery measurement and improvement.
• Design and build scalable backend systems including APIs data models workflows and infrastructure for complex enterprise products.
• Build and ship applied AI/LLM features such as LLM chains RAG systems tool-using agents structured-output pipelines and evaluation workflows
• Create reusable extensible platform building blocks that support multiple user journeys and reporting workflows rather than solving each problem in isolation.
• Improve the robustness of our systems strengthening reliability testing observability performance and maintainability as we scale.
• Work directly with users product and data using qualitative feedback and product data to understand the real problem and evaluate whether a solution works.
• Prototype and test new AI capabilities turning promising ideas into practical product improvements that accelerate our roadmap.
• Bring thoughtful opinions and constructive challenge helping the team make better product and technical decisions.
• Collaborate closely with other engineers including through pair programming technical design discussions and shared problem-solving.

• Strong professional backend engineering experience with a track record of designing and shipping reliable production systems.
• Experience in a small high-ownership product team ideally within a startup or scale-up engineering organisation of roughly 520 engineers.
• Evidence that you have shipped meaningful products end to end rather than owning only a narrow component within a much larger organisation.
• 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).
• Strong API database and systems design skills with the ability to model complex workflows and build maintainable foundations for enterprise products.
• 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.
• A solid software-quality mindset including testing code review CI/CD observability and pragmatic approaches to reliability and security.
• Cloud and container experience with an understanding of how to deploy operate and scale production workloads.
• Fluent English (C1) both written and spoken.

• Experience building workflow reporting questionnaire or other complex B2B SaaS products.
• Familiarity with backend technologies such as FastAPI PostgreSQL background queues
• Any experience with LangChain LangSmith or other LLM frameworks
• Deeper experience with RAG retrieval agents LLM evaluation and production AI systems.
• Experience improving latency cost and reliability for AI workloads.
• Knowledge of ESG sustainability climate tech or corporate reporting.
• German language skills.

• 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.
• Sharp and curious: You learn quickly ask good questions and enjoy getting to the root of difficult product and technical problems.
• A product-minded builder: You think beyond the task in front of you focus on the users real problem and care about whether what you ship creates value.
• Highly self-directed: You thrive in a fast-moving environment with autonomy ambiguity and limited oversight.
• 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.
• Commercially aware and creative: You balance technical quality with user needs business value and speed.

If your experience doesnt align precisely with all the criteria dont worry! We encourage you to still apply. Many people miss out on opportunities because they feel they dont fit every requirementwe believe in attitude growth and iteration not perfection!