Middle Typescript/Node.js Developer with AI experience (AdTech)
Posted Updated
Summary
Middle-level developer building high-performance microservices and AI-enabled features using TypeScript and Node.js. The role focuses on AWS serverless architecture (Lambda, DynamoDB) and LLM integrations within the AdTech domain.
- 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
- 3+ years of commercial experience as a Back-end Developer or AI Software 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
Will be a plus
- Experience with ML and AI experimentation projects
- Exposure to recommendation systems or data intelligence platforms
- Experience working with vector databases
- Familiarity with Infrastructure as Code tools such as Terraform or CloudFormation
- Understanding of observability and monitoring practices in distributed systems
- Experience working with scalable cloud-native architectures
Personal Profile
- 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