Tech Lead - AI Customer Care (Hands-On, Hybrid)

Budget Thuis; Amsterdam; Hybrid; EUR 56,000 - 79,000; Full time

Benefits offered by this job

Gross salary €5,000-€7,100 per month

Hybrid 50/50 working

One remote month per year

13th month salary

Pension: 16%

Travel allowance

ClassPass credits

OpenUp mental health access

Job summary

Budget Thuis is seeking a Tech Lead for Customer Care to steer our AI stack, including an LLM-powered chatbot with voice, the Knowledge Base/RAG pipeline, and deployment tooling. You will mentor engineers, review code, and drive delivery with a close partnership with the architect and Engineering Manager.

The role is senior and hands-on (about 70% leadership, 30% coding). A strong background in C#, Kubernetes, and real-time web tech is expected, with a passion for AI and learning.

Qualifications

• Experience as Tech Lead, Staff Engineer, or Engineering Lead in a software team.
• Solid C# fundamentals with Kubernetes and Azure knowledge for production systems.
• Familiarity with real-time web technologies like WebSockets and React.
• Communication that conveys complex AI pipelines to engineers and stakeholders.
• A basic understanding of AI systems and a real drive to learn more.
• A track record of mentoring and developing teammates.

Responsibilities

• Translate product and domain challenges into clear technical approaches balancing speed and quality.
• Review designs, pair with engineers, and coach through hard decisions.
• Keep services observable, secure, resilient, and production-ready on Kubernetes.
• Collaborate with the architect on domain boundaries and system scope.
• Improve day-to-day tooling, CI/CD, and testing for long-term gains.
• Foster a culture of learning and ownership over shipped work.

Skills

Tech Lead experience

C# fundamentals

Kubernetes & Azure

WebSockets & React

Communication skills

AI basics

Continuous learning

Tools

Semantic Kernel

Azure AI Foundry

Job description

Budget Thuis is seeking a Tech Lead for Customer Care to steer our AI stack, including an LLM-powered chatbot with voice, the Knowledge Base/RAG pipeline, and deployment tooling. You will mentor engineers, review code, and drive delivery with a close partnership with the architect and Engineering Manager.

The role is senior and hands-on (about 70% leadership, 30% coding). A strong background in C#, Kubernetes, and real-time web tech is expected, with a passion for AI and learning.