Software Engineer – Agentic AI

Our client is reimagining how professional services are delivered by combining human expertise with intelligent AI technology. With 450+ businesses served across 20+ industries, they are now building proprietary AI systems designed to automate complex workflows, empower specialists and turn traditional service delivery into scalable software.

Role Overview

You’ll join as a Software Engineer – Agentic AI, building production-grade multi-agent systems, backend infrastructure and data architectures that power the next generation of AI-driven professional services.

Key Responsibilities

• Build the core product: Develop and enhance an internal platform that streamlines complex business workflows, turning user feedback and operational challenges into practical software features.
• Engineer intelligent agents: Extend production AI systems by working on agent coordination, context management, memory, retrieval and iterative improvement mechanisms.
• Shape the architecture: Influence technical decisions across application design, workflow orchestration, APIs, data structures, security and technology selection.
• Develop reliable data infrastructure: Design and improve relational and vector-based data storage, ensuring information can be retrieved efficiently and used effectively by AI applications.
• Own delivery end to end: Translate business needs into technical solutions, take responsibility for implementation and help establish maintainable engineering practices as the platform evolves.
• Collaborate across disciplines: Work closely with product stakeholders and internal users to prioritise improvements, validate solutions and deliver value through short development cycles.

Qualifications

• A solid professional background in software engineering, with strong backend development fundamentals and experience delivering production applications.
• Practical experience building AI agents or agentic AI components, particularly involving orchestration, context handling, memory or retrieval.
• Proficiency in Python, TypeScript or a comparable programming language, together with experience using established backend frameworks.
• Familiarity with agent development frameworks such as LangGraph, LangChain, CrewAI or comparable tools.
• Experience building backend services with technologies such as FastAPI, NestJS, Spring Boot or similar frameworks.
• Working knowledge of PostgreSQL, Docker, Git and GitHub.
• Experience with cloud-based or containerised environments, using technologies such as Kubernetes, AWS or equivalent platforms.
• Strong German communication skills at C1 level or Native.
• An ownership mindset, sound technical judgement and the ability to turn loosely defined requirements into working software.

Additional skills that would be advantageous:

• Strong SQL skills, including database modelling, API design and query optimisation.
• Experience deploying AI or machine learning models into production and evaluating their practical limitations.
• A product-oriented approach to engineering, with the ability to work directly with users and understand their needs.
• Familiarity with event-driven systems, message brokers such as Kafka or RabbitMQ, or similar distributed architectures.
• Experience using AI-assisted coding tools such as Claude Code, Codex or comparable solutions.

You do not need to have worked with every technology listed. Strong backend engineering fundamentals and hands-on experience building agentic AI solutions are the priorities.

Ready to shape how intelligent agents transform complex workflows into scalable software? If you enjoy hands-on engineering, technical ownership and building AI systems that solve real operational challenges, we’d love to hear from you.