Senior Backend Engineer

About us

Jeen empowers enterprises with generative AI through advanced AI agents, automations, voice analytics, and knowledge-based insights across any cloud or on-premise environment. Trusted by industry leaders shaping tomorrow's technological landscape.

About the Role

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.

Key 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.