Senior Full Stack Software Engineer

We are looking for a Senior Full Stack Software Engineer to build scalable software solutions across our AI products and customer platforms.
You will be part of a cross-functional team responsible for the full software development lifecycle, from product conception and system design through development, deployment and ongoing improvement.
You should be comfortable working across both front-end and back-end technologies, including modern web applications, APIs, databases, integrations and cloud-native services. You will also work closely with our research teams to bring AI prototypes and models into reliable production environments.
Our core stack includes TypeScript, Python, Rust React, and C++.

Responsibilities
Work with engineering, research, design and product teams to develop software solutions
Design client-side and server-side architecture
Build modern, responsive web applications and dashboards
Develop backend services, APIs and system integrations
Develop and maintain databases and supporting services
Build SDKs, proxies and integration components
Test software for reliability, performance and responsiveness
Troubleshoot, debug and improve existing systems
Support Docker and Kubernetes-based deployments
Implement appropriate security and data protection practices
Work with AI researchers to productionise models and prototypes
Work with customers and partners to understand technical requirements
Write clear technical documentation
Use AI-assisted development tools effectively as part of day-to-day engineering

Requirements
At least 4 years of professional software development experience
Degree in Computer Science or another relevant technical field
Experience with modern frontend frameworks such asTypeScript, JavaScript, React or Vue
Experience developing backend services using Python, Rust, C++ or Node.js
Strong experience designing and consuming REST APIs
Experience with relational and/or NoSQL databases such as MySQL Postgres or MongoDB
Strong understanding of software architecture, data structures and communication protocols
Good understanding of unit, integration and end-to-end testing and strong problem-solving skills.
Experience with Docker and Kubernetes
Excellent communication and teamwork skills
Good attention to detail and organisational skills
Regular use of AI coding assistants such as Cursor, GitHub Copilot, Claude Code, Codex or equivalent

Advantageous
Experience with speech AI, conversational AI or machine learning applications
Experience with real-time systems, WebSockets, WebRTC or streaming technologies
Experience with telephony or communication platforms such as Jambonz
Experience building analytics dashboards or customer-facing portals
Experience with Cloud providers, AWS, Azure, Google Cloud, etc
Experience working with Agile development methodologies