Working Student - AI Agent Architecture

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

As a Working Student in AI Agent Architecture at Parloa, you will support our Professional Services team in building and improving AI-powered customer service agents. You will work side by side with our Agent Architects, gaining hands-on experience with large language models (LLMs), conversational design, API integrations and real-world enterprise AI deployments.

This is not a passive role. From day one, you will contribute to live projects, help shape AI agent behavior, and be part of a team that is redefining how companies interact with their customers.

• Support Agent Architects in the design and testing of AI agent workflows for enterprise customers across a range of industries
• Research and evaluate LLM prompting strategies, and assist in crafting and refining prompts that align AI agent behavior with customer requirements
• Support testing of voice agent behavior, including pronunciation adjustments and SSML markup, ensuring agents meet customer brand and language standards
• Get exposure to API-based system integrations, supporting Agent Architects in connecting customer backends, CRMs, and ticketing systems to deployed agents
• Help document best practices, how-to guides, and internal knowledge articles that the broader PS team can use and build on
• Assist with quality assurance: test conversational flows, identify edge cases, and flag issues in agent behavior before customer go-lives
• Analyze conversation logs and performance data to surface patterns and improvement areas for deployed agents
• Support the team in preparing customer-facing materials such as scoping documents, training content, and session summaries
• Stay up to date on developments in the LLM and conversational AI space and share relevant insights with the team

• Currently enrolled in a Bachelor's or Master's program in Computer Science, Computational Linguistics, Cognitive Science, Business Informatics, or a related field
• Genuine curiosity about AI, large language models, and conversational interfaces, ideally with some hands-on experimentation
• Interest in conversation design, UX writing, or human-computer interaction, you think about how users experience a dialogue, not just whether it works
• Structured, analytical thinker who enjoys breaking down complex problems into clear, actionable steps
• Strong written communication skills in English (German is a plus)
• Comfortable working with tools like Google Docs, Sheets, and Notion; experience with APIs or basic scripting (e.g. Python, Javascript) is a plus but not required
• Proactive and self-driven, you don't wait to be told what to do next
• Available for 16–20 hours per week, with flexibility around university commitments

 Hiring Manager → Technical Interview