Lead Agent Integration Engineer

Summary

Join Parloa as a Lead Agent Integration Engineer and integrate their product suite into customer infrastructure, driving engineering excellence and leading critical initiatives. Mentor and coach engineers, acting as an interface between engineering, product, and customer success teams. Build efficient integration architecture, run workshops, lead technology improvements, develop new features, reduce tech debt, and enforce best practices. Conduct pair programming, code reviews, and maintain architectural documentation. Facilitate productization of workarounds and contribute to the success of the Parloa platform and customer projects. This role requires strong experience in customer-facing full-stack engineering and Azure services. The position offers competitive compensation, flexible working hours, and professional development opportunities.

Requirements

• 5+ years of experience in customer-facing full-stack engineering, ideally in a B2B context
• Strong experience with Azure services, cloud deployment, and infrastructure management
• Strong API design expertise (TypeScript focused), including API versioning and security best practices
• Proven track record of leading engineering initiatives and mentoring teams

Responsibilities

• Work closely with our customers to build an efficient integration architecture , incl. solution architecture or data flow diagrams
• Run workshops with our partners and customers around Parloa’s integration services
• Lead technology improvements, initiatives and optimize engineering excellence
• Develop new features and functionality for a scalable and robust AIE ecosystem
• Drive tech debt reduction and enforce engineering best practices in testing, monitoring, and observability
• Act as a mentor and coach , supporting the growth of less experienced engineers
• Conduct pair programming and code reviews to maintain technical excellence
• Establish and maintain clear architectural documentation and guidelines
• Facilitate the productization of existing workarounds to enhance the AIE ecosystem

Preferred Qualifications

• Basic knowledge of conversational AI and NLU-related ML
• Containerization (Docker) and Kubernetes experience

Benefits

• Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches
• Competitive compensation and equity package
• Flexible working hours, 28 vacation days and workation opportunities
• Access to a training and development budget for continuous professional growth
• Regular team events, game nights, and other social activities
• Work from a home and/or our beautiful office(s) in the heart of Berlin or Munich with adjustable desks, social areas, fresh fruits, cereals, and drinks