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Backend & Platform Engineer

Recrew AI

3.1
12 reviews
Recrew AI
Job Type   /   Job Level
Full-time   /   Senior Executive
Company Location
India

Role: Backend & Platform Engineer

Function: Backend Engineering / Platform Infrastructure

Location: Bangalore or Mumbai

Type: Full-time

Industry: Artificial Intelligence, Telecommunications, Voice AI, Real-Time Communications



About Compan

yThe company is the dedicated AI research arm of a large-scale national intelligence program. It is building foundational AI for India at population scale

.Focus areas include Speech-to-Text, Text-to-Speech, Real-Time Conversational AI, and Multilingual Foundation Models. The company invests across the full AI value chain — from next-gen data centers to consumer AI platforms and enterprise enablement

.It partners with global AI leaders including OpenAI, Anthropic, Google, and Meta. The mission: make human-machine communication feel as natural as speaking to another person


.
Position Overvi

ewWe're looking for a Backend & Platform Engineer who builds systems that handle millions of concurrent voice streams without breaking a sweat. You will architect the real-time streaming backbone — WebSockets, gRPC, audio chunk orchestration — that connects client-side edge to our core AI inference nodes. High availability isn't a goal here; it's the default settin


g.
Role & Responsibilit

  • iesArchitect and own the real-time streaming backend handling WebSockets and gRPC for live voice sessi
  • onsBuild audio chunk orchestration pipelines with ultra-low latency and zero data loss guarant
  • eesDesign and implement seamless state management across distributed, concurrent voice stream sessi
  • onsEngineer low-overhead routing layers between client-side edge nodes and core AI inference clust
  • ersIntegrate RTP/WebRTC protocols into the platform for real-time audio transport and session handl
  • ingImplement distributed caching patterns to minimize latency across millions of simultaneous connecti
  • onsDrive platform reliability, observability, and incident response for mission-critical voice infrastruct


ure
Must Have Crit

  • eria4–9 years of backend engineering experience building high-concurrency, distributed production sys
  • temsHands-on experience with Go or Rust for performance-critical backend services (not just familiar
  • ity)Proven experience building real-time streaming systems using WebSockets and gRPC at s
  • caleWorking knowledge of RTP/WebRTC protocols and audio codec handling (Opus, G.711, or simi
  • lar)Experience implementing distributed caching using Redis for low-latency state manage
  • mentDemonstrated ability to architect systems handling 1M+ concurrent connections or equivalent s
  • caleExperience with container orchestration using Kubernetes for deploying high-availability serv


ices
Nice to

  • HaveExperience building voice or audio infrastructure for a conversational AI or VoIP pr
  • oductPrior work at a real-time communications company (Twilio, Agora, Daily.ai, or sim
  • ilar)Familiarity with GPU inference serving and optimizing the edge-to-inference handoff la
  • tencyOpen-source contributions to networking, audio processing, or distributed systems pro
  • jectsExperience operating systems at telco-scale or within high-frequency trading infrastru


cture
What We

  • OfferOpportunity to build voice AI infrastructure that will impact hundreds of millions of Indian
  • usersWork alongside world-class AI researchers and engineers on frontier real-time AI pr
  • oblemsAccess to massive compute infrastructure including next-gen GPU clusters and edge
  • nodesHigh ownership, fast-moving culture — no bikeshedding, no monolith th
  • inkingCompetitive compensation and benefits within the company's broader eco


system
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