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