Middle/Senior Typescript/Node.js Developer, AI Experience

• Develop and maintain high-performance back-end microservices and AI-enabled services using TypeScript and Node.js
• Design, implement, and integrate AI- and LLM-powered platform features
• Build scalable serverless solutions using AWS Lambda, API Gateway, DynamoDB, and EventBridge
• Collaborate with cross-functional teams on API-first architecture and OpenAPI specifications
• Ensure tenant data isolation and compliance with established AdTech data models
• Contribute to reusable libraries, templates, AI integration patterns, and engineering standards
• Participate in code reviews focused on performance, reliability, observability, and service quality
• Translate product and AI feature requirements into scalable technical solutions
• Support the platform transformation toward automation, standardization, and intelligent reusability
• Contribute to continuous improvement initiatives and technical decision-making processes

• 7+ years of commercial experience as a Back-end Developer
• Strong hands-on experience with TypeScript and Node.js
• Experience building API-first microservice architectures
• Practical experience integrating AI services, LLM APIs, or AI-assisted workflows
• Hands-on experience with AWS serverless technologies including Lambda, API Gateway, DynamoDB, and EventBridge
• Understanding of RESTful and GraphQL APIs
• Knowledge of prompt engineering concepts and AI integration approaches
• Understanding of multi-tenant architectures and logical data isolation principles
• Interest in AdTech products, automation, and AI-driven optimization
• Upper-Intermediate or higher English level
• Strong analytical and problem-solving skills
• Proactive and ownership-driven mindset
• Passion for modern Back-end engineering and AI technologies
• Ability to collaborate effectively within distributed international teams
• Interest in innovation, experimentation, and continuous learning
• Strong communication skills and attention to engineering quality
• Plus: Experience with ML and AI experimentation projects
• Plus: Exposure to recommendation systems or data intelligence platforms
• Plus: Experience working with vector databases
• Plus: Familiarity with Infrastructure as Code tools such as Terraform or CloudFormation
• Plus: Understanding of observability and monitoring practices in distributed systems
• Plus: Experience working with scalable cloud-native architectures

• Remote work arrangement
• Opportunity to grow expertise in AI integrations, cloud platforms, and scalable distributed systems
• Work on a product trusted by globally recognized publishers
• Distributed international team collaboration
• Continuous learning and experimentation opportunities