You will lead technical decisions, mentor senior engineers, and represent engineering to stakeholders — all while maintaining a strong focus on AI-driven product features, LLM integrations, and intelligent automation.

✅ Key Responsibilities

• Lead the design and evolution of scalable distributed systems in Go
• Own AI integration and configuration — from model selection and API integration to prompt engineering and production deployment
• Translate business goals into technical roadmaps and delivery plans
• Conduct architecture reviews, code reviews, and mentor senior engineers
• Represent engineering in external stakeholder meetings and challenge unrealistic requirements
• Drive improvements to CI/CD, observability, and engineering processes
• Balance hands-on coding with team leadership and architectural oversight.

✅ Must-Haves

• 5–6+ years of commercial experience with Go
• 2+ years in a technical leadership or lead engineer role
• Deep expertise in distributed systems, microservices, and Go concurrency (goroutines, channels, sync primitives)
• Hands-on experience implementing, configuring, or integrating AI/ML solutions in production backend systems — including working with LLMs, RAG pipelines, OpenAI APIs, LangChain, or similar AI/ML frameworks
• Experience with CI/CD, cloud infrastructure, and modern DevOps practices
• Higher education in IT
• Readiness to work CEST hours and use a corporate laptop
• Willingness to complete a live coding task in Go during the client interview
• English B2

Why Join

• Work on a long-term product with real business impact.
• International, distributed team with a collaborative culture.
• Opportunity to take ownership of a mature application.
• Flexible working conditions and remote work.