There’s nothing more powerful than the ability to persuade and change someone’s mind. We think WH is best placed to be the company that builds the next generation of an ethical nudging engine using AI.
We’re building using NLP research that is far away from being mainstream. But cool tech is just one part of it—we’re super motivated to build useful/functional products on top of it and create real value.
We need people who can help us build+scale our conversational AI engine and the web app to help our customers use the insights from the conversations.
As a key member of our founding engineering team, you will be responsible for designing, building, and maintaining the backend infrastructure of our engine and other products.
In this role, you will:
- Collaborate with cross-functional teams to define, design, and ship new high quality features, even when working in ambiguity
- Apply good judgement to build future-proof abstractions, eg. to the Fluid, our internal DSL to build bots, which is agnostic to use-cases or industry
- Work with large volumes of data and develop systems to support our data-driven products, like real-time usage analytics, experimentation and visualisation tools, proactively alerting customers of any anomalies in metrics
- Develop and improve our software development practices, like RCAs, testing, security and deployment processes and apply your decision making skills to when to follow a industry best practice vs when to go simple and be a contrarian
To be successful in this role, you should have:
- Deep expertise in one programming language (e.g. Python, Java, JS, etc.) and any modern web framework (FastAPI, Spring, Node.js, etc)
- Demonstrated ability to apply Design and Architectural patterns while building the APIs and microservices.
- Good experience with various data stack related tasks such as modelling, choosing and configuring databases for optimal performance, and architecting data streaming pipelines.
- Familiarity of working with one or more modern cloud native practices like Containers, Event-driven, serverless, observability stack