Data, Integrations and AI Engineer
Listed on 2026-02-16
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IT/Tech
AI Engineer, Data Engineer
About Crowdfunder
At Crowdfunder, we're on a mission to tackle society's biggest challenges by making ideas happen. We believe that the most transformative ideas often come from within the community. As the UK's leading crowdfunding platform for community causes, we've helped raise over £450 million for 100,000+ projects, supporting a community of 3.5+ million people united for good.
We're not just about raising funds—we're about nurturing grassroots innovation to create meaningful societal change. From sports clubs and charities to social enterprises and community groups, we help turn ideas into reality through the power of collective action.
The Role & About You
We're looking for a talented junior to mid‑level Data, Integrations and AI Engineer to work alongside our Director of Data and AI. This is a crucial role that sits at the intersection of data engineering, AI implementation and systems integration. You'll be instrumental in bringing our ambitious 2026 AI and Data strategies to life, helping us scale operations and deliver better outcomes for the thousands of community projects we support.
This isn't just a technical role; it's an opportunity to directly impact thousands of lives. Every workflow you automate, every AI tool you build and every integration you create helps community organisations, charities and social enterprises bring their ideas to life. You'll see the tangible results of your work in the projects that get funded and the communities that benefit.
Join us during an exciting transformation as we integrate AI across our operations. You'll be working with cutting‑edge technologies, experimenting with the latest LLM capabilities and helping define how AI can enhance community crowdfunding. Your ideas and contributions will shape our AI strategy.
Key Responsibilities Intelligent Automation & AI Integration- Design and build AI‑powered workflows that automate repetitive tasks and scale our operations.
- Integrate large language models and AI capabilities into existing systems and processes.
- Create intelligent tools that enhance team productivity and improve customer experience.
- Explore and implement emerging AI technologies to solve business challenges.
- Build and maintain APIs that enable seamless data flow between systems.
- Design data pipelines and integration patterns for internal and external use.
- Improve data accessibility, quality and usability across the organisation.
- Connect disparate systems and create unified data experiences for teams.
- Work with Platform Engineering teams to develop AI‑powered features and tools for users.
- Support the creation of intelligent matching, recommendation and scoring systems.
- Rapidly prototype solutions, gather feedback and help transform concepts into production‑ready systems.
- Contribute to best practices for testing, deployment and monitoring of AI systems.
- Data engineering fundamentals:
Experience with SQL, data warehousing, ETL/ELT processes and working with large datasets. Must have hands‑on experience with Google Big Query, Dataform and Cloud Run. - API development & integration:
Hands‑on experience building and consuming RESTful APIs, handling authentication and managing integrations. - LLM/AI experience:
Practical experience working with large language models (OpenAI, Anthropic or similar), prompt engineering and AI‑powered applications. - Python proficiency:
Strong Python skills for data processing, automation and building production systems. - Builder mindset: A passion for creating practical solutions, shipping code and iterating based on feedback.
- Self‑directed learning:
Comfortable navigating ambiguity, learning new technologies and solving problems independently. - Communication skills:
Able to explain technical concepts to non‑technical stakeholders and collaborate across teams.
- Experience with machine learning frameworks (scikit‑learn, Tensor Flow, PyTorch).
- Familiarity with modern data stack tools (dbt, Fivetran, Redash etc.).
- Experience with cloud platforms (AWS, GCP, Azure).
- Knowledge of web analytics and marketing data (Google Analytics, PPC tracking).
- Under…
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