What We Do
At Briink, we're building AI technology for the global sustainability economy. We work with the world's largest climate organizations, including CDP and PRI, and multinational companies such as Bayer, Siemens, Commerzbank, E.ON, and Heidelberg Materials. Our technology helps automate how sustainability data is collected, analyzed, verified, and acted on. Based at Berlin's AI Campus, with a second office in London, and backed by over €7 million in funding.
Application requirement: please submit a short intro video (max 2 minutes) as part of your application. Applications without a video will not be considered.
Your Role
As Briink's Backend/AI Product Engineer, you'll join a small, high-ownership product and engineering team building AI-powered products for sustainability professionals. This is not a narrowly scoped backend role: you'll take meaningful product problems from initial discovery through technical design, implementation, and iteration to deploy them at scale.
- Own product features end to end, from understanding the user problem 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.
- Improve the robustness of systems, strengthening reliability, testing, observability, performance, and maintainability.
- Work directly with users, product, and data, using qualitative feedback and product data.
- Prototype and test new AI capabilities, turning promising ideas into practical product improvements.
- Collaborate closely with other engineers, including pair programming and technical design discussions.
Your Profile
- Strong professional backend engineering experience, with a track record of designing and shipping reliable production systems.
- Experience in a small, high-ownership product team (roughly 5–20 engineers).
- Evidence that you have shipped meaningful products end to end.
- Strong experience in Python (or another modern backend language such as Java, Ruby, or TypeScript).
- Strong API, database, and systems design skills.
- Applied AI/LLM experience, ideally involving RAG or retrieval, tool use, agents, structured outputs, or evaluation systems.
- A solid software-quality mindset: testing, code review, CI/CD, observability.
- Cloud and container experience.
- Fluent English (C1+), both written and spoken.
Nice to have: experience building workflow, reporting, questionnaire, or other complex B2B SaaS products; FastAPI, PostgreSQL, background queues; LangChain, LangSmith or other LLM frameworks; ESG/sustainability/climate tech knowledge; German language skills.
What We Offer
Competitive salary and equity. Purpose-driven mission. Flexible hybrid setup (Berlin or London strongly preferred), with access to the Merantix AI Campus. Trust and autonomy. Learning budget and quarterly hackathons.