Role - Lead Backend Engineer – Voice AI

Location: Bengaluru

Work mode: 5 days/week, Work from Office

Experience: 5–8 years

MUST HAVE - Voice AI OR Voice Bot AND Python The Role

We are looking for a hands-on Lead Backend Engineer – Voice AI to build and own the backend foundations of our Voice AI product.

This is a high-ownership, 0 to 1 role. You will work closely with Product, Design, AI/ML, and

Engineering teams to turn ambiguous problem statements into reliable, delightful, and scalable customer experiences. You will influence both product direction and technical architecture while building systems that power real-time, human-like AI conversations.

What You'll Do

● Lead the design, development, and evolution of backend systems that power real-time

Voice AI experiences.

● Build reliable, low-latency services for telephony, audio streaming, conversation orchestration, session management, and post-call workflows.

● Develop and operate Voice AI integrations using platforms such as Live Kit, Vapi, Twilio,

Web RTC, or similar technologies.

● Integrate speech-to-text, text-to-speech, LLMs, retrieval systems, and AI evaluation pipelines into robust production workflows.

● Build agentic and conversational workflows using tools such as Lang Chain,

Lang Graph, or equivalent frameworks.

● Design scalable APIs, event-driven workflows, data models, background jobs, and fault-tolerant systems.

● Own backend services built with Python, Fast API, Postgre SQL, Redis, queues, and cloud infrastructure.

● Lead, mentor, and grow a high-performing team of talented engineers; create clarity, set a high execution bar, and enable the team to deliver ambitious outcomes in a fast-moving environment.

● Partner with Product and Design to identify customer problems, define requirements, run experiments, and ship end-to-end features.

● Make thoughtful trade-offs across speed, product experience, latency, reliability, security,

scalability, and cost.





● Establish strong observability across the platform, including logging, monitoring, alerting,

tracing, and meaningful product/quality metrics.

● Define and improve metrics such as call success rate, latency, conversation completion,

AI quality, and user satisfaction.

● Raise the engineering bar through architecture reviews, code reviews, documentation,

and mentorship.

What We're Looking For

● 5–8 years of backend engineering experience, including ownership of customer-facing production systems.

Robust proficiency in Python and backend frameworks such as Fast API. Strong experience with relational databases, especially Postgre SQL, along with caching and asynchronous processing using tools such as Redis, queues, and background workers.

● Experience designing scalable APIs, distributed systems, asynchronous workflows, and event-driven architectures.

● Hands-on experience with Voice AI, conversational AI, telephony, Web RTC, real-time communications, or audio/video streaming systems.

● Experience with platforms or tools such as Live Kit, Vapi, Twilio, or similar Voice AI and communications technologies.

● Practical experience building LLM-powered applications, including prompt orchestration,

tool calling, RAG, structured outputs, and AI evaluation/monitoring.

Experience with Lang Chain, Lang Graph, or comparable agentic workflow frameworks. Familiarity with cloud infrastructure, Docker, CI/CD, monitoring, logging, tracing, and production incident debugging.

● Strong product mindset: you care deeply about user experience, customer outcomes,

and business impact, not just clean code.

● Ability to thrive in ambiguity, independently define a path forward, and take ideas from zero to production.

● Strong communication skills and the ability to work effectively across Engineering,

Product, Design, and AI/ML teams.

● Demonstrated experience leading or managing a strong engineering team, including technical direction, prioritization, mentoring, performance coaching, and creating an environment of high ownership and accountability.

📌 Lead Backend Engineer - Voice Ai (Bengaluru)
🏢 Qrata
📍 Bengaluru