Product Engineer (Backend/AI)

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 and user conversations 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 rather than solving each problem in isolation.
• 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.
• Collaborate closely with other engineers, including through pair programming, technical design discussions, and shared problem-solving.

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 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 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.
• Fluent English (C1+), both written and spoken.

Nice to have

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

What they offer

• Competitive salary and equity, reflecting your impact and ownership.
• Purpose-driven mission: Build tools that help organisations act more sustainably and make the ESG data ecosystem more transparent.
• Flexible hybrid setup: Berlin or London based candidates are strongly preferred, with access to our team and the wider startup community at the Merantix AI Campus.
• Trust and autonomy: Own meaningful problems, shape the product, and influence how we build as the company grows.
• Learning budget and quarterly hackathons: Explore new technologies and prototype ideas that push Briink forward.