Senior Backend Engineer

Predict
42, a leading AI startup in feedback analytics, is seeking a highly skilled Backend Engineer to join our dynamic team. In this pivotal role, you'll be instrumental in architecting, developing, and maintaining robust, high-performance, and scalable microservices leveraging Click House and serverless Google Cloud services. You'll build the critical application infrastructure powering our LLM-driven AI solutions across development, testing, and deployment.

If you're passionate about Python, resilient microservices, and thrive in a cloud-native environment, we want to hear from you! You'll report to our Tribe Lead Engineering.

Apply now by emailing .

• Architect, design, develop, and deploy high-performance microservices that form the backbone of our feedback analytics platform.
• Implement and optimize API endpoints for efficient data retrieval from our Click House database.
• Develop backend features and APIs, managing them through the full development, testing, and deployment lifecycle in a serverless environment.
• Ensure scalability, reliability, and security of backend systems, handling high transaction volumes.
• Write clean, maintainable, and tested code, contributing to engineering best practices.
• Collaborate with Data & Machine Learning Engineers, product managers, and frontend developers for integrated solutions.
• Monitor, troubleshoot, and maintain production services for high availability and performance.

• Strong proficiency in Python and experience with frameworks like FastAPI, Flask, or Django.
• Hands-on experience with Click House for analytical queries and data storage.
• Experience with Google Cloud Platform services such as Cloud Functions, Cloud Run, Pub/Sub, and Big Query.
• Proven experience in microservices architecture.
• Understanding of RESTful API design principles.
• Experience with testing methodologies (unit, integration, end-to-end).
• Interest in Large Language Models (LLMs), AI, and NLP, especially backend interactions.
• Language: German (B2 minimum).

• Competitive salary and equity via virtual stock options.
• Flexible work environment combining remote and on-premise options.
• Research time allocated weekly for innovation.
• Support for pension plans and insurance via salary conversion.
• Team-building events, including annual offsite retreats.