About this role

ABOUT THE ROLE This is a hands-on technical role at the intersection of product and customer deployments. You'll sit at the core of a fast-moving AI communication platform — owning end-to-end production rollouts, building integrations, and ensuring customers get reliable, real-world results from day one. Your work will directly shape how the product evolves by feeding field learnings back into engineering and product teams.

The company is a well-funded, seed-stage European startup building AI phone assistants for small and medium-sized businesses. The team is lean (~50 people) and growing rapidly, with a strong engineering culture and a proprietary orchestration layer built in-house with a focus on European data privacy standards. WHAT YOU'LL DO - Act as the technical bridge between product and customer setups — translating business requirements into robust, production-ready implementations.

- Lead end-to-end rollouts of AI assistant configurations in production, including workflows, logic, data flows, prompts, and guardrails. - Implement integrations with third-party systems via APIs and webhooks, covering CRMs, calendars, ticketing, payments, and common auth patterns (OAuth, API keys). - Develop glue code and small-to-medium features with tests, monitoring, and logging to map customer use cases to production systems.

- Debug live issues across calls, flows, and data pipelines — and ship rapid fixes under production conditions. - Build reusable templates, deployment playbooks, and best practices to make setups scalable and repeatable across customers. - Maintain a tight feedback loop with product and engineering by surfacing pain points, feature gaps, and recurring patterns with concrete recommendations. - Own deployment success and ensure customer setups function reliably in live production call environments.

WHAT WE'RE LOOKING FOR Must-haves: - 3+ years of experience in deployment engineering, delivering production AI integrations and automation workflows. - Deep, hands-on experience with LLM-based systems — including prompting, tool use, RAG/knowledge retrieval, evaluation, and handling failure modes. - Proven ability to translate complex business processes into robust, testable AI-driven workflows. - Experience implementing third-party integrations (APIs, webhooks) and authentication patterns (OAuth, API keys, data formats).

- Strong coding skills to implement features and glue code with proper testing, monitoring, and logging. - Cloud fundamentals: deployments, observability, and production debugging. - Pragmatic, ownership-driven mindset — you ship fast, iterate, and take responsibility for outcomes. Nice to have: - TypeScript or Python experience. - Experience with n8n or similar workflow automation tooling. - Familiarity with voice/telephony integrations.

- SQL proficiency. - Monitoring/tracing tooling experience. - GDPR / Privacy-by-Design awareness. COMPENSATION & BENEFITS - Salary: €60,000 – €90,000 per year, depending on experience. - Fully remote role within Germany. - Work within a high-velocity, small team with significant ownership and direct impact on the product. Please note: Visa sponsorship is not available for this role. LOCATION Fully remote — based in Germany.

You'll collaborate closely with a team spanning Germany and Austria.

Source listing: ashby_clera