You will be part of a multi-disciplinary product team that designs, builds and ships full stack web applications that directly support organisational operations and decision-making. A key focus of this role is the development of an internal chat assistant powered by production AI, purpose-built to augment the productivity and capabilities of staff across the organisation. You are a motivated self-starter who takes initiative, thrives in a collaborative environment, takes ownership of features end-to-end and cares deeply about the quality and reliability of code running in production.
Responsibilities
Design, develop and deploy scalable full stack features across the frontend and backend, from user-facing interfaces to APIs and data layers
Write high-quality, well-tested code with unit, functional and end-to-end test coverage
Maintain and improve the reliability of production systems – including monitoring, debugging and resolving production issues
Participate actively in peer code reviews, enforcing best practices around code style, testability, performance and security
Collaborate with designers and product stakeholders to co-create practical user-centric solutions
Contribute to technical documentation and knowledge sharing within the team
Participate in Agile Scrum ceremonies and iterative delivery cycles
Requirements
Background in Computer Science, Computer Engineering, Information Systems, or a related field
Demonstrable hands-on exposure to shipping and maintaining software through industry experience, internships, open-source contributions or personal projects
Proficiency in full stack web technologies – frontend frameworks (e.g. ReactJS) and backend frameworks (e.g. Spring Boot/Java)
Solid understanding of RESTful API design with familiarity in microservices architecture
Familiarity with relational and/or NoSQL databases (e.g. MongoDB)
Experience with CI/CD pipelines, version control and build tools (e.g. Git, Maven)
A motivated self-starter who can independently drive tasks to completion, proactively identify problems and propose solutions without needing close supervision
Strong problem-solving skills and a growth mindset
Fresh graduates with demonstrable project experience – including internships, open-source contributions, or personal projects – are welcome to apply.
Applicants with greater experience will be considered for Senior Software Engineer positions.
Nice-to-have
Experience with any one of these areas: Agentic AI systems, Large Language Models (LLMs), and the LangChain toolkit – including building and maintaining LLM-powered workflows or agents in production
Experience with container orchestration (Kubernetes) and object storage (e.g. MinIO)
Familiarity with search technologies such as ElasticSearch or Solr
Experience with messaging systems such as Kafka or RabbitMQ
Exposure to observability and monitoring tooling (e.g. Elastic Stack, Prometheus, Grafana)
Familiarity with graph databases (e.g. Neo4J)
Why Join Us
Work on meaningful products that create real operational impact
Ownership over features from conception through to production deployment and beyond
A collaborative team that invests in deepening both your core stack expertise and adjacent technical interests
Opportunities to grow into senior engineering or technical lead responsibilities
