IONOS

Backend Engineer

• Design Agentic Workflows: Design and implement LLM-based systems that go behind response generation - enabling structured tool usage, workflow orchestration, and secure interaction with internal services via MCP (Model Context Protocol).
• Build and Optimize RAG & CAG: Develop high-performance Retrieval-Augmented Generation and Context-Augmented Generation pipelines to ensure accurate, relevant, and low-latency responses. Continuously improve context management, ranking strategies, and grounding mechanisms to support complex, multi-step interactions.
• Voice Channel Mastery: Develop and optimize real-time Speech-to-Speech (S2S) pipelines, focusing on streaming architectures, latency reduction (including Time to First Word - TTFW) and maintaining a natural conversational flow.
• Evaluation, Quality & Alignment: Build and maintain an automated QA module, including LLM-as-a-judge patterns, to measure accuracy, safety, latency, and resolution quality at scale. Translate evaluation insights into systematic models and prompt improvements.
• Model Strategy & Hybrid Integration: Integrate and operate both commercial foundation models (e.g., OpenAI, Anthropic, Google) and open-source alternatives (e.g., Qwen, Kimi, DeepSeek, Moonshot, GLM), selecting and optimizing models based on performance, latency, cost, and use-case requirements.

AI Developer, Python – Customer Care AI Platform

DevOps Engineer

• Design, build, and maintain CI/CD pipelines in collaboration with development teams
• Improve and gradually redesign our infrastructure toward container orchestration
• Maintain and optimize Debian-based Linux systems
• Ensure high availability and monitoring across multiple data centers
• Contribute to observability, monitoring, logging, and incident response practices
• Automate infrastructure provisioning and configuration

DevOps Engineer, Customer Care AI Platform Team

Engineer

• Be an expert in the products supported and have an advanced understanding of the related business processes.
• Identify, troubleshoot, analyze and resolve highly complex issues within defined service level expectations.
• Identify proactive ways to reduce the number of issues and support cases.
• Monitor all internal processes and identify any potential issues.
• Escalate unresolved problems to development teams.
• Provide highly complex technical support to Customer Care agents.
• Participate in development process to ensure complete understanding of new products or new features.
• Effectively analyze applications logs to discover any underlying issues or trends.
• Perform adhoc operations through data fixes.
• Create and maintain automation scripts.
• Act as key contact for internal clients and external partners in support of technical problems.
• Addresses all technical problems to forecast any potential complex issue.
• Create and update support and operation documentation.

AI Developer, Python – Customer Care AI Platform

DevOps Engineer, Customer Care AI Platform Team

3rd Level Engineer – InterNetX Team