Senior Full Stack Engineer

at  AdLib

ABOUT CLIMATE POLICY RADAR

Climate Policy Radar is on a mission to organise, analyse, and democratise the world’s climate law and policy data. We build open databases and research tools so people can discover, understand, and generate data-driven insights on public laws and policies. Our work helps governments, researchers, international organisations, civil society, and the private sector to understand and advance effective climate policies and deploy climate finance.
Harnessing data science and AI and pioneering the application of natural language processing to this domain, our work unlocks previously inaccessible, unstructured data.
We are deeply embedded in the global climate and AI communities, and count some of the most important organisations and global climate leaders amongst our users, advocates, friends and advisors.
We are seeking a Senior Full-stack Engineer who will be instrumental in this journey, building high-scale, high-impact tools to help move the needle on climate change.

WHAT EXPERIENCE YOU’LL NEED TO APPLY:

• Experience using Python with one of the modern frameworks (Django, Flask, FastAPI, Tornado etc) to build REST APIs.
• Experience using React for frontend features.
• Strong database knowledge, SQL and PostgreSQL.
• Solid understanding of software engineering fundamentals, version control (Git), shell scripting, OOP, unit and integration testing, and CI/CD.
• Some experience in system architecture and making technical decisions.
• Exposure to AWS (or other cloud platform) and best practices.
• Experience contributing to data-dense products with complex, scaling architectural needs.
• Demonstrated passion for open-source software.
• Significant experience in highly collaborative cross-functional teams.
• Excitement about working in a startup/scaleup environment and all that brings.

In this role, you will help build and improve our portfolio of high-impact tools and products for global climate law and policy. Bringing cutting edge data science work into a product domain where the user experience best practices haven’t been fully fleshed out. Our work is at the forefront of shaping the experience for researchers using an AI-powered research platform. Tasks include building out new features to help people find answers in large, complicated, dense text documents. Continuing to develop our tools for supporting data partners in curating large libraries of climate-related documents. And building out our “virtual research assistant” roadmap ambition, including leveraging and productionising large language models to help researchers analyse data.
Our ideal candidate will champion engineering excellence, open source, and delightful user experiences. We are looking for candidates with significant experience in highly collaborative cross-functional teams, excitement about working in a startup/scaleup environment and all that brings. We are a mission driven organisation and work best with people who have strong alignment with our values. We care about them deeply.