AI Backend Engineer ( Python / Node.js )
Primary stack
Nice to have's
Job description
About the Position
Your vision. Our solutions.
We are seeking an AI Backend Engineer proficient in Python and Node.js to maintain and develop our conversational AI orchestration layer.
Responsibilities
- Maintain and stabilize 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)
Requirements
- 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
We Expect You to Have
- 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
About the Company
The Workly s.r.o.
4D CENTER, Kodaňská 1441/46,
101 00, Praha 10.
Contact
[email protected]
- 420 775 371 991
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