Senior Backend Engineer – Voice AI
Location: Bengaluru
Work mode: 5 days/week, Work from Office
Experience: 3–4 years
The Role
We are looking for a Senior Backend Engineer – Voice AI to build reliable, low-latency
systems that power real-time AI conversations and interviewing experiences.
You will work closely with Product, Design, AI/ML, and Engineering teams to deliver Voice AI
features end to end from telephony and conversation orchestration to AI quality, reliability, and
analytics. This role is ideal for someone who enjoys product engineering, moves quickly, and
takes strong ownership of production outcomes.
What You’ll Do
● Build and scale backend services for real-time Voice AI experiences, including
telephony, audio streaming, session management, conversation state, and post-call
workflows.
● Integrate and operate Voice AI platforms such as LiveKit, Vapi, Twilio, WebRTC, or
similar technologies.
● Develop AI-powered conversation workflows using speech-to-text, text-to-speech, LLMs,
retrieval, tool calling, and structured outputs.
● Build agentic orchestration flows using LangChain, LangGraph, or similar frameworks.
● Develop APIs and backend services using Python, FastAPI, PostgreSQL, Redis,
queues, and background workers.
● Improve latency, call reliability, quality of conversations, and the overall candidate
experience.
● Design observability for voice and AI workflows through logging, metrics, tracing,
alerting, and error handling.
● Partner with Product and Design to convert customer problems into simple, scalable
product experiences.
● Participate actively in code reviews, technical design discussions, and improvements to
engineering practices.
What We’re Looking For
● 3–5 years of backend engineering experience building and operating production
systems.
● Strong proficiency in Python and experience with FastAPI or comparable backend
frameworks.
● Solid experience with PostgreSQL, REST APIs, background jobs, queues, caching, and
asynchronous processing.
● Hands-on experience with Voice AI, real-time communications, telephony, WebRTC,
audio/video streaming, or conversational AI systems.
● Exposure to tools such as LiveKit, Vapi, Twilio, or equivalent communications
platforms.
● Experience building LLM-powered applications, including prompt orchestration, RAG,
tool calling, structured outputs, and evaluations.
● Familiarity with LangChain, LangGraph, or comparable agent/workflow frameworks.
● Strong understanding of API design, distributed systems fundamentals, reliability, and
performance optimisation.
● Familiarity with Docker, cloud deployments, CI/CD, monitoring, and production
debugging.
● A strong product mindset and curiosity about user behaviour, quality, and customer
outcomes.
● Comfort working in a fast-moving environment with evolving requirements and high
ownership.
Nice to Have
● Experience with AI quality metrics, conversation evaluation, or human-in-the-loop
workflows.
● Experience building multi-tenant B2B SaaS products.
● Experience with AWS, GCP, or another cloud platform.
● Exposure to recruiting, HR tech, or workflow automation products.