Graduate Software Engineer

Design, implement and deliver scalable AI-centric software systems

Help to drive the development of agentic AI capabilities for identifying vulnerabilities, automating penetration testing processes, workflow optimization and enhancing threat intelligence.

Own and drive the end-to-end development of product features from ideation to production deployment and monitoring.

Actively contribute to and drive the design and implementation of AI-enabled systems, promoting effective SDLC processes.

Be involved in technical discussions, code reviews and design sessions, sharing your expertise to uplift the team's capabilities.

Collaborate closely with cross-functional teams to integrate AI capabilities into broader systems and applications.

A degree in a computing/technology discipline.

~1yr of work/internship experience relevant to this role.

3yrs hands-on experience with Python/Go

Some experience with AI technologies, e.g. LLMs, RAG, MCP, etc.

Some grasp of token usage optimisation and LLM cost optimisation techniques.

Strong experience and understanding of microservices, REST API design, gRPC, writing unit testing, BDD testing.

Strong design skills required – UML is a bonus; exposure to Domain Driven Design desirable.

Some experience with asynchronous messaging technologies such as Google PubSub, Kafka.

In depth knowledge of NoSQL and RDBMS technologies.

Strong experience with Docker, Kubernetes, Cloud Environments (GCP preferred).

Experience working on agile teams.

Excellent communication and collaboration skills in all mediums.