Back End Developer

Super Humans; Bengaluru; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Super Humans in Bengaluru is seeking a hands-on Lead Backend Engineer – Voice AI to build and own the backend foundations of our Voice AI product, a 0 to 1 initiative.

You will collaborate with Product, Design, AI/ML, and Engineering to turn ambiguous problems into reliable, scalable customer experiences, shaping architecture and end-to-end features.

Qualifications

• Strong Python proficiency and backend framework experience (FastAPI).
• Experience with relational databases (PostgreSQL) and caching/async processing (Redis, queues).
• Designing scalable APIs, distributed systems, and event-driven architectures.
• Hands-on Voice AI, telephony, or real-time media experience (WebRTC).
• Experience with LiveKit, Twilio, or similar Voice AI tools.
• Experience building LLM-powered apps, including prompt orchestration and AI eval/monitoring.

Responsibilities

• Lead design, development, and evolution of backend systems powering real-time Voice AI.
• Build low-latency services for telephony, audio streaming, orchestration, and session management.
• Develop and operate Voice AI integrations using LiveKit, Vapi, Twilio, WebRTC, etc.
• Integrate speech-to-text, text-to-speech, LLMs, and AI eval pipelines into production workflows.
• Create agentic workflows using LangChain or similar frameworks.
• Design scalable APIs, data models, and background jobs with fault-tolerance.
• Own back-end services with Python, FastAPI, PostgreSQL, Redis, queues, and cloud infra.
• Mentor a high-performing team and drive ambitious outcomes.

Skills

Python

FastAPI

PostgreSQL

Redis

Cloud (AWS)

Docker

LLM integration

LangChain

Tools

LiveKit

Twilio

WebRTC

Job description

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

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

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

scale.

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 LiveKit, 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 LangChain, LangGraph, 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 LiveKit, 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 LangChain, LangGraph, or comparable agentic workflow frameworks.
• Familiarity with cloud infrastructure, Docker, CI/CD, monitoring, logging, tracing, and
• 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.

Nice to Have

• Experience building high‑scale SaaS products.
• Experience with multi‑tenant systems, role‑based access controls, and enterprise‑grade security.
• Experience evaluating speech, LLM, and conversational quality through automated and human‑in‑the‑loop feedback systems.
• Exposure to recruiting, HR tech, talent management, or workflow automation products.
• Experience leading technical initiatives or mentoring engineers in a fast‑paced startup

Why Join Us

• Build a foundational Voice AI product from the ground up.
• Own meaningful technical and product decisions with high autonomy.
• Work on AI experiences that directly shape how companies hire, engage, and grow talent.
• Collaborate with a highly driven team operating at the intersection of AI and enterprise SaaS.
• Make a visible impact in an environment that values initiative, speed, learning, and