AI Full Stack Engineer
Location: Tel Aviv (IL)
Experience Level: Associate
Description
Jeen.AI is an enterprise AI platform that enables organizations to build, deploy, and scale advanced AI agents, automations, and knowledge-driven systems across cloud and on-prem environments. We provide a secure and flexible foundation for companies to integrate AI deeply into their operations.
Under Jeen, Jeen Talk is a dedicated product line focused on building a B2C AI platform for enterprises - enabling businesses to create and deploy real-time voice and chat agents that interact directly with customers at scale.
We are looking for a highly motivated AI Full Stack Engineer to join the Jeen Talk team and help build the next generation of real-time AI voice systems.
Why Join us?
- Build a real production-grade voice AI platform
- Work on real-time systems at scale
- Be part of a fast-growing AI company with real enterprise traction
- Own features end-to-end - from idea to production
- Work with cutting-edge AI + voice technologies
Responsibilities
At Jeen Talk, you’ll work across the full stack - from real-time audio pipelines to scalable backend systems and modern frontend interfaces.
- Develop AI-powered voice agents using modern voice frameworks
- Build and maintain FastAPI-based REST APIs with complex session and webhook logic
- Develop React + TypeScript frontend with real-time audio and data visualization
- Build Python microservices for Transcription, Call analysis, Alert scheduling (Celery)
- Integrate leading AI providers LLMs (OpenAI, Azure, Google), TTS / STT engines
- Design and improve real-time voice infrastructure and telephony (SIP/VoIP) systems
- Take part in architectural decisions across the platform
- Ensure high code quality with testing and best practices
Requirements
- 3+ years of full-stack development experience with React + TypeScript, Python (FastAPI or similar async frameworks)
- Experience with: SQLAlchemy, Alembic, Pydantic v2, PostgreSQL, Redis
- Solid understanding of REST API design (auth, webhooks, multi-tenant systems), Async systems and task queues (Celery)
- Experience integrating LLM APIs (OpenAI, Azure, Gemini)
- Familiarity with STT/TTS providers
- Strong understanding of real-time systems and latency tradeoffs
- Strong communication skills (English & Hebrew)
- Ability to think critically about Model limitations, Hallucinations and Performance vs cost tradeoffs.
- Deep understanding of software engineering methodologies, including design patterns and scalable system design.
Preferred Qualifications
- Experience building real-time voice AI systems
- SIP / VoIP / telephony integration experience
- Experience with RAG pipelines, Vector databases / embeddings
- Familiarity with MCP (Model Context Protocol)
- Experience with on-prem / self-hosted AI deployments
- Experience with search systems (MeiliSearch / OpenSearch / similar)
- Strong product thinking - ability to surface risks before they become production issues
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