- 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 TypeScript, 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 SaaS products
- German language skills
- Experience improving latency, cost, and reliability for AI workloads
- Any experience with LangChain, LangSmith, 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 FastAPI, PostgreSQL, background queues
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Product Engineer (Backend/AI @Briink) employer: Merantix
At Autodesk, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters creativity and innovation. As a Machine Learning Engineer, you'll have the opportunity to collaborate with leading researchers and engineers in a hybrid working environment, enhancing your skills while contributing to meaningful projects that impact the world. With a strong focus on employee growth and development, Autodesk provides unique advantages such as access to cutting-edge technology and a diverse, global team dedicated to making a difference.
