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,

WebRTC, 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, FastAPI, PostgreSQL, 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.

- Strong proficiency in Python and backend frameworks such as FastAPI.
- Strong experience with relational databases, especially PostgreSQL, 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, WebRTC, 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 solid 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