node.js developer for Generative AI

Zartis is a global AI transformation and technology consulting partner that designs, builds, and scales technology solutions. Its teams specialize in AI-driven platforms, secure API architectures, and cloud-native engineering, supporting projects across financial services, healthcare and life sciences, and energy and climate.

• Design, develop, and deploy scalable backend applications using Node.js and TypeScript;
• Integrate Generative AI and LLM capabilities into production-grade applications and services;
• Design and operate cloud-native architectures on AWS across serverless and container-based environments;
• Build and deploy containerized workloads using EC2, ECS/EKS, and Kubernetes;
• Build LLM-powered capabilities using Amazon Bedrock, RAG, tool calling, context management, prompting, and knowledge indexing;
• Design solutions addressing production AI challenges including response quality, latency, cost efficiency, traceability, and observability;
• Apply engineering best practices around scalability, security, resilience, and maintainability;
• Contribute to backend and cloud architecture, making technical decisions and evaluating trade-offs;
• Collaborate with engineering and product stakeholders to deliver AI-powered capabilities reliably to production.

• Extensive professional experience building backend applications with Node.js and TypeScript;
• Proven experience designing, developing, and deploying Generative AI capabilities in production beyond prototypes or proof-of-concepts;
• Strong hands-on experience designing and operating solutions on AWS;
• Experience with serverless and container-based architectures, including EC2, ECS/EKS, Kubernetes, or equivalent AWS technologies;
• Hands-on experience with Amazon Bedrock and/or production LLM applications within the AWS ecosystem;
• Practical experience implementing RAG, tool calling, context management, prompting, and knowledge indexing;
• Strong understanding of production challenges for AI-powered applications, including quality, latency, cost, traceability, and observability;
• Proven ability to design scalable, secure, resilient, and maintainable backend systems;
• Experience making technical and architectural decisions and evaluating trade-offs in production environments;
• Strong communication and collaboration skills with a proactive approach to ownership and problem-solving.

• Monthly WFH allowance as financial support for remote working;
• Career development program with 360º feedback;
• Allocated time for tech training, including online courses, English classes, books, conferences, and events;
• Mentoring program;
• Wellbeing platform with sessions from mental health professionals, nutritionists, physiotherapists, fitness coaches, and webinars;
• Multicultural working environment with tech events, webinars, parties, and online team-building activities.