Senior AI Full Stack Engineer

About us

Jeen is an enterprise AI platform that enables organizations to securely deploy, manage, and scale AI across their business. As part of Jeen, Jeen Talk is the company’s B2B2C division, focused on AI-powered customer engagement solutions, including Voice & Chat AI, autonomous AI agents, real-time transcription, live agent assistance, and multilingual communication. Together, we help enterprises transform customer experiences with secure, production-ready AI.

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.

• Develop modern frontend applications using React and TypeScript.

• 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 Full Stack development experience.

• Strong experience with Python, NestJS, React and TypeScript.

• Experience with FastAPI or similar modern backend frameworks.

• Experience with PostgreSQL, SQLAlchemy, Alembic, Redis, and Pydantic.

• Experience building REST APIs and asynchronous services.

• 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.