Senior Backend Engineer

Description

Join Jeen Talk and help build one of the most advanced Enterprise Conversational AI platforms. You'll develop production-ready Voice AI and Chat AI solutions used by enterprise customers worldwide, working on real-time voice infrastructure, AI orchestration, and modern web applications. You'll be part of a fast-moving startup environment with high ownership, working closely with Product, AI, and DevOps teams to build scalable AI-powered customer experience solutions.

Responsibilities

• Develop production-grade AI Voice Agents and Chat Agents.
• Build scalable backend services using Python and FastAPI.
• Integrate OpenAI, Azure OpenAI, Gemini, Claude, and additional AI providers.
• Design scalable multi-tenant SaaS architecture.
• Optimize performance, latency, scalability, and system reliability.
• Participate in architecture discussions and technical planning.
• Ensure high code quality through testing, code reviews, and engineering best practices.

Requirements

• 4+ years of Backend or Full Stack development experience, with a strong focus on backend development.
• Strong hands-on experience with NestJS and TypeScript.
• Strong experience designing and developing scalable backend services and architectures.
• Experience building REST APIs and asynchronous services.
• Experience with PostgreSQL, Redis, and relational data modeling.
• Experience with Python and FastAPI or similar modern backend frameworks.
• Experience with React and modern frontend development.
• Experience integrating LLM APIs such as OpenAI, Azure OpenAI, Gemini, or Claude.
• Strong understanding of scalable software architecture and distributed systems.
• Experience working with Git, CI/CD, Docker, and production environments.

Preferred Qualifications

• Experience building Voice AI or Conversational AI applications.
• Experience with SIP, VoIP, or telephony systems.
• Experience with Twilio or enterprise communication platforms.
• Experience with RAG pipelines and Vector Databases.
• Experience with Kubernetes.
• Experience with MCP (Model Context Protocol).
• Experience deploying enterprise SaaS and On-Prem solutions.