Experience with AI/LLM integrations and Generative AI applications
Knowledge of intelligent document processing and NLP techniques
Familiarity with vector databases (e.g., Pinecone, Weaviate) and search platforms (e.g., OpenSearch, Elasticsearch)
Exposure to agentic workflows or orchestration frameworks for multi-step AI reasoning, and familiarity with MCP (Model Context Protocol)
## Tech stack 🧱
We're pragmatic about our technology choices. These are some of the things we use at the moment:
🗄️ PostgreSQL, BigQuery, MySQL
🎨 TypeScript, React, styled-components
🔧 Jest, React Testing Library, Cypress, pytest
🚀 ECS Fargate, Docker, Terraform, GitHub Actions
## How we expect you to work 👷♀️
We expect you to work in these ways, as well as encouraging and enabling these practices from others:
Collaborate 💬 - We work in cross-functional, mission driven, autonomous squads that gel over time. We pair program to work better through shared experience and knowledge.
Focus on outcomes over outputs ✅ - Solving a problem for users that translates to business results is our goal. Measurements focused on that goal help us to understand if we are succeeding.
Practice continuous improvement 💡 - We optimise for feedback now, rather than presume what might be needed in the future and introduce complexity before it will be used. This means we learn faster. We share learnings in blame-free formats, so that we do not repeat things that have failed, but still have confidence to innovate.
Seek to understand our users 👂 - We constantly seek understanding from data and conversations to better serve our users' needs, taking an active part in research to hear from them directly and regularly.
Embrace and enable continuous deployment 🤖 - Seamless delivery of changes into an environment - without manual intervention - is essential for us to ensure that we are highly productive; consider resiliency; and practice security by design.
Test outside-in, test first 🚦 - TDD keeps us confident in moving fast, and deploying regularly. We want to solve user problems, and so we test with that mindset - writing scenarios first, then considering our solution; coupling tests to behaviour, rather than implementation.
Responsibilities
Develop and maintain digital lending platforms to enhance customer experience.
Collaborate with cross-functional teams to integrate new technologies into existing systems.
Analyze data from various sources to identify trends in borrower behavior and preferences, which will inform product development strategies.
Design user interfaces that are intuitive and accessible for a diverse customer base.
Ensure compliance with regulatory standards related to digital lending practices.
Monitor system performance metrics regularly to ensure optimal operation of the platforms.
Provide technical support to users experiencing difficulties or seeking assistance on our products.
Stay informed about emerging technologies and industry best practices in digital finance, attending relevant workshops, seminars, and conferences when possible.