Job DescriptionAbout Us

NWe're building AI-poweredtalent products that help organizations hire, manage

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

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

Nscale.

nThe Role

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

Nbackend foundations of our Voice AI product.

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

NEngineering teams to turnambiguous problem statements into reliable, delightful, and scalable

Ncustomer experiences. Youwill influence both product direction and technical architecture while

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

NWhat You'll Do

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

NVoice AI experiences.

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

Norchestration, session management, and post-call workflows.

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

NWebRTC, or similar technologies.

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

Npipelines into robust production workflows.

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

NLangGraph, or equivalent frameworks.

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

Nfault-tolerant systems.

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

Ncloud infrastructure.

n● Lead, mentor, and grow a high-performing team of talented engineers;

create clarity, set

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

Nfast-moving environment.





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

Nexperiments, and ship end-to-end features.

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

Nscalability, and cost.

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

Ntracing, and meaningful product/quality metrics.

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

NAI quality, and user satisfaction.

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

Nand mentorship.

nWhat We're Looking For

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

Nproduction systems.

n

N
- Strong proficiency in Python and backend frameworks such as FastAPI.
N
- Strong experience with relational databases, especially PostgreSQL, along with caching
N

nand asynchronous processing using tools such as Redis, queues, and background

Nworkers.

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

Nevent-driven architectures.

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

Ncommunications, or audio/video streaming systems.

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

Ncommunications technologies.

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

Ntool calling, RAG,



structured outputs, and AI evaluation/monitoring.

N

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

nproduction incident debugging.

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

Nand business impact, not just clean code.

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

Nzero to production.

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

NProduct, Design, and AI/ML teams.

N● Demonstrated experienceleading or managing a strong engineering team, including

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

Nenvironment of high ownership and accountability.

NNice to Have

n

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

nsecurity.

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

Nhuman-in-the-loop feedback systems.

N

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

nenvironment.

nWhy Join Us

N

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

ntalent.

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

NSaaS.

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

Nownership.

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