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A leading voice technology firm in Greater London is seeking a Senior Backend Engineer with Voice AI experience to design and scale backend systems for voice-driven applications. The ideal candidate will have over 6 years of backend engineering experience, proficiency in languages such as Python and Go, and a strong background in distributed systems and APIs. This role involves optimizing voice technologies, maintaining backend services, and contributing to platform architecture. Competitive salary and working in a dynamic environment await the right talent.
About Natter
🗣 Natter harnesses the power of AI and video to give everyone a voice.
Built by a team of ex-Uber, WeWork and Amazon builders, Natter has selectively hired a team of exited founders, specialist domain experts and SaaS unicorn founding team members. They are now looking for an additional team hire: a Security Engineer.
Natter is already being used by some of the world’s largest companies, ranging from big four consultancies like PwC, institutional financial services providers like Legal and General, to technology innovators like Miro.
Natter’s conversational AI platform allows tens of thousands of users to simultaneously share ideas and feedback through real-time video conversations. Its uniquely scalable tech allows anyone with a smartphone to, literally, have a say on the most important decisions - ranging from workplace strategy to new product offerings.
We’re looking for a Senior Backend Engineer with Voice AI experience to help design, build, and scale the backend systems powering real-time, voice-driven applications. You’ll work at the intersection of distributed systems, AI/ML infrastructure, and speech technologies—owning critical services that enable low-latency, reliable, and intelligent voice experiences.
This role is ideal for someone who enjoys solving complex backend problems and has hands-on experience supporting voice, speech, or conversational AI systems in production.
Design, build, and maintain scalable backend services for voice-enabled and conversational AI products
Integrate and optimize speech-to-text (STT), text-to-speech (TTS), and NLP/LLM pipelines
Collaborate closely with ML, Voice UX, and Product teams to bring AI-driven voice features to life
Own backend APIs, data flows, and service orchestration for voice interactions
Improve system performance, reliability, observability, and cost efficiency
Contribute to architectural decisions and long-term platform strategy
6+ years of professional backend engineering experience
Strong proficiency in one or more backend languages (e.g. Python, Go, Java, Scala, or Node.js)
Experience building distributed systems, APIs, and event-driven architectures
Solid understanding of databases (SQL and NoSQL), caching, and message queues/streams
Strong system design skills with a focus on scalability and reliability