Project tasks:

• Maintain and stabilise the existing Node.js conversational backend (bug fixes, minor enhancements, testing, reliability, cautious change management)
• Ensure continuous operation of production services and timely resolution of maintenance issues with no regressions
• Work with a short-term Node.js maintenance focus and transition mid- to long-term to full-time Python/AI development
• Develop and extend a Python-based conversational AI orchestration layer (LangChain / LangGraph)
• Implement LLM orchestration pipelines including prompt engineering, API integration, hallucination handling, error handling, and fallback strategies
• Participate in architecture discussions and the migration from Node.js to a Python/Kotlin stack
• Integrate and collaborate with Kotlin backend services and engineers
• Create and maintain automated tests, technical documentation, and CI/CD pipelines
• Collaborate closely with a cross-functional product team (frontend, Kotlin, business, design)

Qualifications:

• Professional experience maintaining Node.js backends in production environments (Express/Koa-style)
• Professional Python experience
• Practical experience with LLMs, LangChain, and prompt engineering
• Proven handling of LLM-specific challenges (e.g. hallucinations, prompt iteration, reliability)
• Experience with automated testing (Jest/Mocha, pytest) and CI/CD pipelines
• Familiarity with Kotlin backend ecosystems and service integration
• Experience with Git / version control
• Familiarity with Docker, cloud platforms (AWS, Azure, GCP), and Databases (PostgreSQL, MongoDB, Redis)
• Solid understanding of API design
• JWT/OAuth2 knowledge is an advantage