Product Engineer (Backend/AI) @Briink

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. You'll take meaningful product problems from initial discovery through technical design, implementation, and iteration to deploy them at scale across the ESG market.

What you'll do

• 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.
• 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.
• Collaborate closely with other engineers, including through pair programming and technical design discussions.

What you'll need

• 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 of roughly 5–20 engineers.
• Evidence that you have shipped meaningful products end to end, rather than owning only a narrow component.
• Strong experience in Python or another modern backend language such as Java, Ruby, or TypeScript.
• Strong API, database, and systems design skills, with the ability to model complex workflows.
• Applied AI/LLM experience, ideally involving RAG, 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.

Nice to have

• Experience building workflow, reporting, questionnaire, or other complex B2B SaaS products.
• Familiarity with FastAPI, PostgreSQL, background queues, LangChain, or LangSmith.
• Deeper experience with RAG, retrieval, agents, LLM evaluation, and production AI systems.
• Knowledge of ESG, sustainability, climate tech, or corporate reporting.

What they offer

• Competitive salary and equity, reflecting your impact and ownership.
• Flexible hybrid setup in Berlin or London with access to the Merantix AI Campus.
• Trust and autonomy to own meaningful problems and shape the product.
• Learning budget and quarterly hackathons.