Senior Node.js Engineer with AI

Braver IT S.A. REMOTE 2026-09-24

Requirements

・Strong commercial experience with Node.js and backend development

・At least 2 years of commercial experience working with AI/ML solutions

・Professional experience with Python

・Hands-on experience building and integrating AI-powered functionality into real-world products

・Experience taking AI experiments or prototypes into production

・Ability to research different technical approaches, test them and make decisions based on results

・Understanding of how to evaluate AI-based solutions, including quality, accuracy, latency and cost

・Strong understanding of backend architecture, APIs and integrations

・Ability to independently own technically complex features from idea to production

Highly Valued

・Experience with LLMs, RAG, AI agents or GenAI applications

・Experience working with major AI model providers and APIs

・Experience with AWS or other cloud platforms

・Experience with AI observability, evaluation frameworks or production monitoring

・Previous experience in travel technology, hospitality, marketplaces or booking platforms.

About the Role

We are looking for a Senior Node.js Engineer with strong commercial experience in AI to build and develop production-ready, AI-powered features. The role combines strong backend engineering in Node.js with hands-on work on AI solutions, experimentation, evaluation and integration into a live product.

What we offer:

Long-term cooperation on an international project.
Fully remote work.
A collaborative environment with experienced engineers.
Private medical care.
Multisport card.
Flexible working arrangements.

,[Design and develop scalable backend services and APIs using Node.js, Build and integrate AI-powered features into production systems, Research different AI approaches, run experiments and evaluate results to identify the most suitable solutions, Develop Python-based components for AI/ML workflows, data processing and experimentation, Build prototypes and transform successful approaches into reliable, production-ready solutions, Integrate LLMs, AI models and external AI services with existing backend systems, Define evaluation methods and metrics to measure the quality and performance of AI solutions, Work closely with engineering and product teams on architecture and implementation decisions, Take ownership of features from technical design and experimentation through implementation and deployment, Monitor and improve existing solutions based on production results, performance and user feedback] Requirements: Node.js, AI, Python, Prototypes, AWS, Cloud platform