Software Engineer (AI Assistant Product)

SingaporeFull-timemid

Data ScienceSoftware EngineerSoftware Engineering

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Overview

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.

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Data ScienceSoftware EngineerSoftware Engineering

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.

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

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.

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)

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