Senior Software Engineer – AI Agents (all people) | hybrid or remote

Job description

As a Senior Software Engineer – AI Agents, you’ll build automation systems for customer projects, working end-to-end from architecture and infrastructure to integrations in live client environments. This is a broad role by design: you’ll take ownership across layers, drive technical direction, and deliver systems that scale and create measurable customer impact.

• Design AI infrastructure for client deployments: You own the architecture for LLM-powered automation like microservices, orchestration layers, and data pipelines that process millions of documents.
• Configure and optimize customer-specific AI systems: You set up and tune LLMs, embeddings, multi-modal models and apply prompting strategies, retrieval, and fine-tuning.
• Extend automation reach: You use scripting, desktop automation, or RPA-style tooling to integrate with systems that lack modern APIs.
• Deliver end-to-end: You translate ambiguous requirements into production-ready systems with minimal guidance and work directly with stakeholders to understand needs, design solutions, implement robust code, and ensure smooth deployment.
• Shape technical direction: You prototype new approaches, evaluate emerging technologies, and make independent calls on architecture and implementation that influence both customer projects and our platform.
• Thrive in a strong team: You collaborate with engineers, project managers and customer teams who value technical excellence, rapid execution, and visible impact.

Qualifications

• You are an experienced software engineer with 5+ years experience in data-intensive, AI-centric product development.
• You are high-agency, taking initiative and driving projects forward with ownership while collaborating closely with teammates and stakeholders.
• You have a strong background in Python and a track record of building clean, maintainable systems.
• You are knowledgeable about infrastructure for sensitive customer data and understand GDPR compliance requirements.
• You are hands-on with Large Language Models (fine-tuning, prompt engineering, and daily work with GPT/Claude/Gemini).
• You are familiar with Vertex AI, Bedrock, or containerized ML infrastructure (Kubernetes, Docker).
• You are a problem solver and communicator, capable of engaging directly with clients and translating business needs into technical solutions.

Bonus Points

• You have experience applying Robot Process Automation tools in combination with Gen AI to extend AI-based automation beyond APIs.
• You are proficient with Infrastructure as Code on AWS.

Benefits

• Work on exciting and challenging projects together with a motivated, close-knit team.
• Enjoy an attractive compensation package that offers both security and appreciation.
• Shape your role according to your strengths and interests.
• Expand your knowledge in the field of Artificial Intelligence and actively contribute to the future development of our company.
• Benefit from flexible working hours - whether at the office or comfortably from home, you choose what suits your lifestyle.
• Your workstation is customized for you – MacBook, Linux, or Windows, the choice is yours.
• Receive an annual training budget of €400 for Udemy courses to continually grow your skillset.