Sigma Software
AI
MiddleSoftwareEngineer–AIVoiceSystems(Python/TypeScript)
Neural analysis suggests this role is
optimal for mid candidates.
“Middle Software Engineer – AI Voice Systems (Python/TypeScript) at Sigma Software. Skills: Python, TypeScript, AI Voice Systems, backend engineering, production services, Docker, MongoDB, RabbitMQ, Redis, AWS. Develop and maintain services ensuring clean, testable, well-documented code. Build and improve APIs and services orchestrating agent workflows across LLM/TTS/STT vendors”
What You'll Achieve.
contribute to the core platform rather than just complete tickets; automating customer communications using AI-based solutions; automate workflows; automate customer communication at scale
Industry & Context.
complex integrations; problem-solving skills; Enjoys solving complex integration challenges
What They're Looking For.
Must Have
3+ years of backend engineering experience with hands-on ownership of production services, 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, 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
Nice to Have
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
What You'll Do.
Develop and maintain services ensuring clean
Build and improve APIs and services orchestrating agent workflows across LLM/TTS/STT vendors
Implement resilient patterns for external provider calls (retries
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
Engage in incident response and operational reliability improvements
How You'll Work.
Team & Collaboration
work in a small fast-scaling team; direct communication with the customer team; Ability to work in a small team with direct customer communication; Effective communicator in distributed teams
Communication Scope
Proactive communication; Effective communicator in distributed teams
Process & Methodology
take ownership, take a well-scoped problem and drive it to completion
Full Job Description
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 * Develop and maintain services ensuring clean, testable, well-documented code * Build and improve APIs and services orchestrating agent workflows across LLM/
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