Posted at: 30 January
Senior Backend Engineer
Company
Natter
Natter is a B2B SaaS company headquartered in London, specializing in AI-driven employee engagement solutions through real-time video conversations for organizations globally.
Remote Hiring Policy:
Natter supports a remote and flexible work policy, hiring from various regions to accommodate a diverse team. Team members are encouraged to collaborate effectively, regardless of their location.
Job Type
Full-time
Allowed Applicant Locations
Worldwide
Job Description
About Natter
đŁ 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 worldâs largest companies, ranging from big four consultancies like PwC, institutional ïŹnancial services providers like Legal and General, to technology innovators like Miro.
Natterâs 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.
About the Role
Weâre 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. Youâll work at the intersection of distributed systems, AI/ML infrastructure, and speech technologiesâowning 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.
What Youâll Do
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 lifeOwn 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
What Weâre Looking For
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