Middle Software Engineer – AI Voice Systems (Python/TypeScript)

• 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

• 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

PERSONAL PROFILE

• 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

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.

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 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