Back End Developer

About Us:

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

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.

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

environment.

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

ownership.