Senior Backend Engineer

Location

Remote - GMT */-3hrs

Full time

Remote

Engineering

🗣 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 No
  
  SQL), caching, and message queues/streams

• Strong system design skills with a focus on scalability and reliability