MIDDLE FULL-STACK SOFTWARE ENGINEER – AI VOICE SYSTEMS

Required skills

We are looking for a Middle Full-Stack Software Engineer with strong experience in TypeScript, React/Next.js, and solid working knowledge of backend development with Python.

The ideal candidate is comfortable owning features end to end — from frontend implementation and user-facing flows to backend services, APIs, integrations, and production support. This role is a good fit for an engineer who enjoys working across the stack, solving complex integration challenges, and contributing to a product in the AI communication space.

The position is slightly frontend-leaning, but still requires the ability to read, write, and maintain backend services.

Customer

The customer is a product company developing a platform for automating customer communications using AI-based solutions.

The team is small, fast-scaling, and operates with a low level of bureaucracy. The role involves direct communication with the customer team and a strong ownership-oriented engineering culture.

The project is in an active development phase. The candidate will work on frontend features, backend services, external provider integrations, and contribute to the ongoing development of the existing platform.

Project

The project is an agentic call center platform that uses Voice and Text AI agents to conduct real customer conversations, automate workflows, and integrate with CRMs and telecom providers.

The platform helps businesses automate customer communication at scale, including bookings, call transfers, CRM workflows, messaging, and routing.

From a technical perspective, the project is interesting because it includes frontend development with React/Next.js, backend services in Python, GraphQL APIs, real-time voice AI workflows, integrations with external providers, MongoDB, Aurora, RabbitMQ, Redis, Docker/ECS, and a future migration toward Kubernetes.

Key Technologies

TypeScript, React, Next.js, GraphQL, Apollo, Python, MongoDB, Aurora / PostgreSQL, RabbitMQ, Redis, Docker, ECS, Kubernetes, AWS, AI/LLM integrations, real-time voice AI.