Middle Software Engineer - AI Voice Systems

GLOBAL BASED ELECTRONICS LLC G.B.E AI
11 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Remote

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Audit Trail
BASIC (Programming Language)
Continuous Integration
Relational Databases
Software Debugging
Distributed Systems
Python
Key Management
PostgreSQL
Enterprise Messaging Systems
MongoDB
Node.js
Query Optimization
RabbitMQ
Redis
Data Streaming
TypeScript
Web Services
WebSocket
Workflow Management Systems
Core Voice Platform
Data Logging
Data Storage Technologies
Real Time Systems
Large Language Models
Caching
Kubernetes
Low Latency
Docker

Job description

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 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 Python to TypeScript migration, multi-LLM orchestration, real-time voice AI, low-latency workflows, MongoDB, Aurora, RabbitMQ, Redis, Docker/ECS, and a future migration to Kubernetes.

Key Technologies:

Python, TypeScript (Node.js), MongoDB, Aurora (RDS), RabbitMQ, Redis, Docker, ECS, Kubernetes, AWS, multi-LLM orchestration, real-time voice AI, * Develop and maintain services ensuring clean, testable, well-documented code

  • Build and improve APIs and services orchestrating agent workflows across LLM/TTS/STT vendors
  • Implement resilient patterns for external provider calls (retries, timeouts, fallbacks, rate limits, circuit breaking)
  • Integrate with CRMs and telecom providers, enabling bi-directional sync and workflow triggers
  • Maintain internal abstractions/adapters for consistent and extensible integrations
  • Work with MongoDB and Aurora for data storage and relational guarantees
  • Use RabbitMQ for asynchronous workflows and Redis for caching and ephemeral state
  • Participate in migration planning from Docker + ECS to Kubernetes
  • Contribute to CI/CD improvements, deployment safety, and observability
  • Engage in incident response and operational reliability improvements

Requirements

Python / strong TypeScript / strong Kubernetes / good English / strong

We are looking for a Middle Software Developer with a strong Python background, solid experience with production services, and willingness to work with or gradually move toward TypeScript.

The ideal candidate is not just a code executor, but an engineer interested in complex integrations, service reliability, real-time workflows, AI/LLM integrations, and infrastructure transformation.

This role is a good fit for someone who wants to work in a small fast-scaling team, take ownership, and contribute to the core platform rather than just complete tickets., * 3+ years of backend engineering experience with hands-on ownership of production services

  • Strong proficiency in Python
  • Good understanding of backend engineering fundamentals: APIs, data modeling, and basic distributed systems concepts
  • Willingness to work with TypeScript or eagerness to learn it
  • Experience with Docker and containerized services
  • Practical experience with MongoDB or a relational database such as PostgreSQL / Aurora
  • Understanding of basic schema design and query optimization
  • Familiarity with messaging systems such as RabbitMQ or similar tools
  • Experience with Redis for caching, rate limiting, or ephemeral state
  • Strong debugging skills
  • Interest in operational topics: logging, monitoring, service reliability
  • Proactive communication and ability to take a well-scoped problem and drive it to completion
  • Ability to work in a small team with direct customer communication

WILL BE A PLUS

  • Experience with real-time systems: telephony, WebSockets, streaming, low-latency pipelines
  • Familiarity with vendor orchestration patterns: fallback routing, provider selection
  • Any Kubernetes experience, even in dev/staging environments
  • Exposure to security/compliance concepts: SOC 2, secrets management, audit trails
  • Experience with AI/LLM, TTS/STT, or voice-related systems, * Proactive and ownership-driven mindset
  • Enjoys solving complex integration challenges
  • Interested in cutting-edge AI voice systems
  • Strong problem-solving skills
  • Effective communicator in distributed teams

About the company

* Diversity of Domains & Businesses * Variety of technology * Health & Legal support * Active professional community * Continuous education and growing * Flexible schedule * Remote work * Outstanding offices (if you choose it) * Sports and community activities

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