Middle Full-Stack Software Engineer – AI Voice Systems

• Develop and maintain full-stack features in a production environment.
• Build user-facing functionality using TypeScript, React, and Next.js.
• Work with server-side rendering and general Next.js patterns.
• Build, consume, and maintain GraphQL APIs, ideally using Apollo.
• Read, write, and maintain backend services in Python.
• Contribute to API design, data modeling, and service-to-service communication.
• Support integrations with CRMs, telecom providers, and AI-related vendors.
• Work with MongoDB and Aurora / PostgreSQL for data storage.
• Participate in debugging across the stack — from browser DevTools to backend logs.
• Work with Docker and containerized deployments.
• Contribute to CI/CD improvements, deployment safety, logging, monitoring, and observability.
• Help keep production services stable, reliable, and easy to support.
• Communicate directly with the customer team and take ownership of tasks from start to finish.

• 3+ years of full-stack engineering experience, preferably with a frontend focus.
• Experience owning features end to end in a production environment.
• Good working knowledge of TypeScript.
• Strong experience with React and Next.js.
• Familiarity with server-side rendering and general Next.js patterns.
• Experience working with GraphQL, ideally Apollo.
• Ability to build and consume GraphQL APIs.
• Comfortable working with Python: able to read, write, and maintain backend services.
• General understanding of backend fundamentals: API design, data modeling, and how services communicate with each other.
• Experience with Docker and containerized deployments.
• Experience with MongoDB or a relational database such as PostgreSQL / Aurora.
• Understanding of basic schema design and ability to write reasonable queries.
• Ability to debug across the stack, from frontend issues to backend logs.
• Interest in production topics: logging, monitoring, reliability, and service health.
• Proactive communication and ability to take a task and drive it without constant hand-holding.
• Comfortable working in a small team with direct customer communication.

WILL BE A PLUS

• Experience with Python backend services in production.
• Exposure to messaging systems such as RabbitMQ or similar tools.
• Experience with Redis or other caching tools.
• 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.
• Experience with AI/LLM, TTS/STT, or voice-related systems.
• Exposure to security/compliance concepts: SOC 2, secrets management, audit trails.

PERSONAL PROFILE

• Proactive and ownership-driven mindset.
• Comfortable working across frontend and backend.
• Enjoys solving complex product and integration challenges.
• Interested in AI-driven communication products.
• Strong problem-solving skills.
• Effective communicator in distributed and small teams.
• Able to work independently and clarify requirements when needed.