
Middle/Senior Typescript/Node.js Developer, AI Experience
Posted Oct 15

Posted Oct 15
This is a fully remote position, open to applicants in Poland.
• Create and sustain high-performance back-end microservices and AI-driven services utilizing TypeScript and Node.js.
• Design, implement, and integrate features powered by AI and large language models (LLM) into the platform.
• Develop scalable serverless solutions leveraging AWS Lambda, API Gateway, DynamoDB, and EventBridge.
• Work collaboratively with cross-functional teams on API-first architecture and OpenAPI specifications.
• Guarantee tenant data isolation and adherence to established AdTech data models.
• Contribute to the development of reusable libraries, templates, AI integration patterns, and engineering standards.
• Engage in code reviews concentrating on performance, reliability, observability, and service quality.
• Convert product and AI feature requirements into scalable technical solutions.
• Assist in the platform transformation towards automation, standardization, and intelligent reusability.
• Take part in continuous improvement initiatives and the technical decision-making process.
• Over 7 years of professional experience as a Back-end Developer.
• Strong practical experience with TypeScript and Node.js.
• Proven experience in building API-first microservice architectures.
• Hands-on experience with the integration of AI services, LLM APIs, or AI-assisted workflows.
• Practical experience with AWS serverless technologies, including Lambda, API Gateway, DynamoDB, and EventBridge.
• Familiarity with RESTful and GraphQL APIs.
• Knowledge of prompt engineering concepts and approaches for AI integration.
• Understanding of multi-tenant architectures and principles of logical data isolation.
• Interest in AdTech products, automation, and AI-driven optimization.
• Upper-Intermediate English level or higher.
• Strong analytical and problem-solving capabilities.
• Proactive mindset with a focus on ownership.
• Enthusiasm for modern back-end engineering and AI technologies.
• Ability to collaborate effectively within distributed international teams.
• Keen interest in innovation, experimentation, and continuous learning.
• Excellent communication skills and a focus on engineering quality.
• Plus: Experience with machine learning and AI experimentation projects.
• Plus: Exposure to recommendation systems or data intelligence platforms.
• Plus: Experience 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 with scalable cloud-native architectures.
• Opportunity to work in a dynamic and innovative environment.
• Access to ongoing professional development and training.
• Competitive salary and benefits package.
• Flexible working arrangements to support work-life balance.
• Collaborative team culture that values input and initiative.
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