Job Description

About Us:

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We're building AI-powered talent products that help organizations hire, manage

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performance, and grow their people. Our Nova platform enables human-like AI conversations

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across phone, chat, and video including AI-led candidate interviews and talent interactions at

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scale.

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The Role

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We are looking for a hands-on Lead Backend Engineer – Voice AI to build and own the

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backend foundations of our Voice AI product.

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

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Engineering teams to turn ambiguous problem statements into reliable, delightful, and scalable

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customer experiences. You will influence both product direction and technical architecture while

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building systems that power real-time, human-like AI conversations.

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What You'll Do

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

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Voice AI experiences.

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● Build reliable, low-latency services for telephony, audio streaming, conversation

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orchestration, session management, and post-call workflows.

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

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WebRTC, or similar technologies.

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● Integrate speech-to-text, text-to-speech, LLMs, retrieval systems, and AI evaluation

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pipelines into robust production workflows.

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● Build agentic and conversational workflows using tools such as LangChain,

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LangGraph, or equivalent frameworks.

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● Design scalable APIs, event-driven workflows, data models, background jobs, and

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fault-tolerant systems.

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● Own backend services built with Python, FastAPI, PostgreSQL, Redis, queues, and

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cloud infrastructure.

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● Lead, mentor, and grow a high-performing team of talented engineers; create clarity, set

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a high execution bar, and enable the team to deliver ambitious outcomes in a

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fast-moving environment.

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● Partner with Product and Design to identify customer problems, define requirements, run

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experiments, and ship end-to-end features.

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

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scalability, and cost.

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

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tracing, and meaningful product/quality metrics.

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

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AI quality, and user satisfaction.

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

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and mentorship.

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What We're Looking For

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

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production systems.

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- Strong proficiency in Python and backend frameworks such as FastAPI.
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- Strong experience with relational databases, especially PostgreSQL, along with caching
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and asynchronous processing using tools such as Redis, queues, and background

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workers.

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● Experience designing scalable APIs, distributed systems, asynchronous workflows, and

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event-driven architectures.

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● Hands-on experience with Voice AI, conversational AI, telephony, WebRTC, real-time

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communications, or audio/video streaming systems.

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● Experience with platforms or tools such as LiveKit, Vapi, Twilio, or similar Voice AI and

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communications technologies.

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

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tool calling, RAG,



structured outputs, and AI evaluation/monitoring.

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- Experience with LangChain, LangGraph, or comparable agentic workflow frameworks.
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- Familiarity with cloud infrastructure, Docker, CI/CD, monitoring, logging, tracing, and
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production incident debugging.

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

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and business impact, not just clean code.

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

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zero to production.

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

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Product, Design, and AI/ML teams.

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● Demonstrated experience leading or managing a strong engineering team, including

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technical direction, prioritization, mentoring, performance coaching, and creating an

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environment of high ownership and accountability.

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Nice to Have

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- Experience building high-scale SaaS products.
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- Experience with multi-tenant systems, role-based access controls, and enterprise-grade
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security.

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● Experience evaluating speech, LLM, and conversational quality through automated and

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human-in-the-loop feedback systems.

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- Exposure to recruiting, HR tech, talent management, or workflow automation products.
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- Experience leading technical initiatives or mentoring engineers in a fast-paced startup
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workplace.

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Why Join Us

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- Build a foundational Voice AI product from the ground up.
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- Own meaningful technical and product decisions with high autonomy.
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- Work on AI experiences that directly shape how companies hire, engage, and grow
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talent.

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● Collaborate with a highly driven team operating at the intersection of AI and enterprise

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SaaS.

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● Make a visible impact in an environment that values initiative, speed, learning, and

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ownership.

📌 Back End Developer (Bengaluru)
🏢 Super Humans
📍 Bengaluru