Senior Full Stack Engineer

Company Description Emotech is an award-winning AI startup based in London, specializing in multimodality AI, multilingual speech, and multimodal solutions. The company has been recognized by TechCrunch as one of the Top 14 European Startups and listed among the Top 30 Business Cases in China by the Financial Times. Since 2019, Emotech has focused on core speech technologies and launched the first multimodal AI Teaching Assistant, showcased at Huawei HDC and honored with the first London Business Award. Emotech collaborates closely with leading universities including UCL, Imperial College, the University of Edinburgh, Cambridge, Oxford, Sheffield, and CMU, giving team members exposure to cutting-edge research. The environment is fast-paced, innovative, and well-suited to professionals who want to shape the future of AI-driven products.

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