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
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Act as the technical bridge between product and customer setups, translating requirements into robust, production-ready implementations.
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Lead rollouts of AI assistant configurations in production, including workflows, logic, data flows, prompts, and guardrails.
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Implement integrations with third-party systems via APIs, webhooks, and common services (CRM, calendar, ticketing, payments).
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Develop small-to-medium features and glue code to map customer use cases to production systems, with tests, monitoring, and logging.
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Debug live issues across calls, flows, and data pipelines, deploying rapid fixes under production conditions.
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Build reusable templates, deployment playbooks, and best practices to make setups scalable and repeatable.
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Surface pain points, feature gaps, and recurring patterns to the product team with concrete recommendations.
What We're Looking For
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3+ years of hands-on deployment engineering experience delivering production AI integrations and automation workflows.
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Deep familiarity with LLM-based systems — prompting, tool use, RAG/knowledge retrieval, evaluation, and failure-mode handling.
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Proven experience owning end-to-end deployments in production environments.
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Solid coding skills (TypeScript or Python a strong plus) with experience writing tests, monitoring, and logging.
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Experience integrating third-party APIs and webhooks, including common auth patterns (OAuth, API keys) and data formats.
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Workflow-oriented thinking: ability to translate complex business processes into robust, testable AI-driven flows.
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Cloud fundamentals: deployments, observability, and production debugging.
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Native or fluent German and fluent English are required — you'll work directly with German-speaking customers and teammates.
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Pragmatic, delivery-focused mindset; comfortable shipping fast and iterating.
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Bonus: voice/telephony integrations, n8n or similar automation tooling, SQL, or GDPR/Privacy-by-Design awareness.
Compensation & Benefits
Salary range: €60,000 – €90,000 annually. Visa sponsorship is not available for this role.
Location
Fully remote, based in Germany.
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