About The Role

ABOUT THE ROLE

This role sits at the technical intersection of product and customer deployments for a fast-growing AI voice communication platform serving SMEs. You'll own end-to-end production rollouts — from requirements capture through integrations, glue code, and monitoring — and keep a tight feedback loop back into the product team. It's a high-impact position in a small, high-velocity team where your work directly shapes how real customers experience the product every day.

WHAT YOU'LL DO

Act as the technical bridge between product and customer setups, translating requirements into robust, production-ready implementations.
Lead rollouts of AI assistant configurations in production, including workflows, logic, data flows, prompts, and guardrails.
Implement integrations with third-party systems via APIs, webhooks, and common services (CRM, calendar, ticketing, payments).
Develop small-to-medium features and glue code to map customer use cases to production systems, with tests, monitoring, and logging.
Debug live issues across calls, flows, and data pipelines, deploying rapid fixes under production conditions.
Build reusable templates, deployment playbooks, and best practices to make setups scalable and repeatable.
Surface pain points, feature gaps, and recurring patterns to the product team with concrete recommendations.

WHAT WE'RE LOOKING FOR

3+ years of hands-on deployment engineering experience delivering production AI integrations and automation workflows.
Deep familiarity with LLM-based systems — prompting, tool use, RAG/knowledge retrieval, evaluation, and failure-mode handling.
Proven experience owning end-to-end deployments in production environments.
Solid coding skills (TypeScript or Python a strong plus) with experience writing tests, monitoring, and logging.
Experience integrating third-party APIs and webhooks, including common auth patterns (OAuth, API keys) and data formats.
Workflow-oriented thinking: ability to translate complex business processes into robust, testable AI-driven flows.
Cloud fundamentals: deployments, observability, and production debugging.
Native or fluent German and fluent English are required — you'll work directly with German-speaking customers and teammates.
Pragmatic, delivery-focused mindset; comfortable shipping fast and iterating.
Bonus: voice/telephony integrations, n8n or similar automation tooling, SQL, or GDPR/Privacy-by-Design awareness.