Job description
Technical Team Lead
Job Summary
Technical Team Lead – Enterprise AI. Fully Remote | UK or Europe. 100k - 120k euros. Fully remote within the UK, EU, Norway or Switzerland. You must be based within approximately two hours of Central European Time.
We are partnering with a fast-growing enterprise AI business that is building safe, scalable AI systems for some of the world’s largest organisations. They are looking for a hands-on Technical Team Lead to lead and develop a small, highly skilled team of backend and AI engineers. This is an opportunity to combine technical leadership with people development while shaping production-grade agentic AI systems, backend services and multi-agent communication layers.
Key Responsibilities
- Lead, mentor and develop a remote engineering team.
- Own architectural decisions across scalable, asynchronous Python systems.
- Remain hands-on across critical backend services, APIs and AI orchestration.
- Translate complex business requirements into practical technical roadmaps.
- Establish strong engineering standards across testing, security, documentation and code quality.
- Remove delivery blockers and create a culture of ownership and continuous improvement.
- Ensure systems meet enterprise requirements for performance, reliability and compliance.
Requirements / Qualifications
- Experience technically leading a team of at least three engineers.
- Strong Python or Node.js backend engineering expertise.
- Deep knowledge of asynchronous programming and distributed systems.
- Experience with event-driven architecture using Kafka, RabbitMQ or Redis Streams.
- Strong knowledge of PostgreSQL or similar relational databases.
- The ability to balance hands-on engineering with leadership, mentoring and delivery.
- Excellent communication skills within distributed, remote-first teams.
- Authorized to work in Germany.
- Bachelor's Degree.
- 1+ years of work experience with Python (Programming Language).
Preferred Qualifications
- Experience with multi-agent systems, AI orchestration, generative AI, RAG or cloud-native infrastructure would be particularly valuable.
Company Overview
This is a genuinely influential role within an ambitious AI business moving beyond experimentation to deliver secure, reliable and production-ready enterprise AI.
