Senior Software Engineer Rust

Description

The company builds AI products and customer solutions, and this role focuses on designing and building scalable, high-performance software for them.

This is a hands-on technical leadership role. You will own major engineering projects, shape architecture decisions, mentor engineers and, when needed, work directly with customers and partners.

You will work with engineering, research, product and design colleagues to move AI prototypes and models into reliable production. The company's products cover speech AI, conversational AI, multimodal systems and real-time communication.

Core systems run mostly on Linux and are built for reliability, throughput and low latency. The main stack is Rust, Python and C++, with Docker, Kubernetes and cloud-native tooling.

Responsibilities

• Lead the architecture and delivery of significant software projects
• Build high-performance backend services, APIs, SDKs and integrations
• Design and tune real-time, streaming and low-latency systems
• Work with AI researchers to take models and prototypes into production
• Turn customer and product needs into practical technical solutions
• Guide engineers through technical advice, code reviews and knowledge sharing
• Raise the performance, reliability, security, testing and observability of systems

Requirements

• At least 4 years of professional software development experience
• A degree in computer Science or a related technical field
• Strong hands-on Rust experience is essential, along with modern C++ or another systems language on Linux
• Good Python skills and working knowledge of several programming languages
• A solid grasp of software architecture, data structures, algorithms and communication protocols
• Experience building backend services, APIs and distributed high-performance systems
• Experience with software testing, Docker, Kubernetes and modern deployment practices
• Experience owning technical projects and mentoring engineers
• Strong problem-solving, communication and teamwork skills
• You use AI coding assistants regularly, such as Cursor, GitHub Copilot, Claude Code, Codex or an equivalent
• Advantageous: experience with TypeScript, JavaScript, Node.js or frameworks such as React or Vue
• Advantageous: experience with conversational AI or machine learning applications
• Advantageous: experience with real-time audio, WebSockets, WebRTC or streaming technologies
• Advantageous: experience productionising models with PyTorch, TensorFlow or similar frameworks
• Advantageous: experience with AWS, Microsoft Azure or Google Cloud
• Advantageous: contributions to open-source projects or technical communities