Product Engineer (Backend/AI @Briink) in London

• 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
• Fluent English (C1+), both written and spoken
• Strong professional backend engineering experience, with a track record of designing and shipping reliable production systems
• Strong API, database, and systems design skills, with the ability to model complex workflows and build maintainable foundations for enterprise products
• Cloud and container experience, with an understanding of how to deploy, operate, and scale production workloads
• 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)
• A solid software-quality mindset, including testing, code review, CI/CD, observability, and pragmatic approaches to reliability and security
• 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
• 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
• Sharp and curious: You learn quickly, ask good questions, and enjoy getting to the root of difficult product and technical problems
• 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
• A product-minded builder: You think beyond the task in front of you, focus on the user’s real problem, and care about whether what you ship creates value
• 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
• Commercially aware and creative: You balance technical quality with user needs, business value, and speed
• Highly self-directed: You thrive in a fast-moving environment with autonomy, ambiguity, and limited oversight
• Experience building workflow, reporting, questionnaire, or other complex B2B Saa S products
• German language skills
• Experience improving latency, cost, and reliability for AI workloads
• Any experience with Lang Chain, Lang Smith, or other LLM frameworks
• Knowledge of ESG, sustainability, climate tech, or corporate reporting
• Deeper experience with RAG, retrieval, agents, LLM evaluation, and production AI systems
• Familiarity with backend technologies such as Fast API, Postgre SQL, background queues
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