Product Engineer; Backend​/AI) @Briink arbeitnow Merantix

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, analysed, verified, and acted on. Through our work with global climate organisations, what you build at Briink will directly impact the sustainability workflows of more than 30,000 companies, investors, and cities worldwide.

We’re a small team working at enormous scale. Your code won’t sit behind an internal tool or an experimental demo — it will help shape how some of the world’s largest organisations understand and act on their environmental impact. Based at Berlin’s AI Campus, with a second office in London, and backed by over €7 million in funding, we want to prove that some of the world’s most powerful technology can also be a powerful force for good.

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 and user conversations through technical design, implementation, and iteration to deploy them at scale across the ESG market. You’ll 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.

• 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.

Type: Onsite

• 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 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.
• Strong experience in Python (or another modern backend language such as Java, Ruby, or Type Script, 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,…