Middle Developer, TypeScript, Node.js, AI

This is a fully remote position, open to applicants in Germany.

📋 Description

• Develop and sustain high-performing back-end microservices and AI-driven services using TypeScript and Node.js.

• Design, implement, and integrate features powered by AI and LLM on the platform.

• Create scalable serverless solutions utilizing AWS Lambda, API Gateway, DynamoDB, and EventBridge.

• Collaborate with cross-functional teams on an API-first architecture and OpenAPI specifications.

• Ensure data isolation for tenants 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 that emphasize performance, reliability, observability, and service quality.

• Convert product and AI feature requirements into scalable technical solutions.

• Support the platform's transition towards automation, standardization, and intelligent reusability.

• Take part in initiatives for continuous improvement and technical decision-making processes.

⛳️ Requirements

• A minimum of 3 years of professional experience as a Back-end Developer or AI Software Developer.

• Proficient hands-on experience with TypeScript and Node.js.

• Experience in building API-first microservice architectures.

• Practical experience in integrating AI services, LLM APIs, or AI-assisted workflows.

• Hands-on experience with AWS serverless technologies such as Lambda, API Gateway, DynamoDB, and EventBridge.

• Familiarity with RESTful and GraphQL APIs.

• Knowledge of prompt engineering concepts and methods 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 or higher proficiency in English.

• Experience with machine learning and AI experimentation projects is advantageous.

• Exposure to recommendation systems or data intelligence platforms is a plus.

• Experience with vector databases is an added advantage.

• Familiarity with Infrastructure as Code tools like Terraform or CloudFormation is beneficial.

• Understanding of observability and monitoring practices in distributed systems is a plus.

• Experience in working with scalable cloud-native architectures is a plus.

• Strong analytical and problem-solving abilities.

• Proactive attitude and a mindset focused on ownership.

• Capability to collaborate effectively within distributed international teams.

• Interest in innovation, experimentation, and continuous learning.

• Excellent communication skills and a keen attention to engineering quality.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and career advancement.

• Flexible working hours and remote work options.

• A dynamic and inclusive work environment.

• Access to the latest tools and technologies.