Forward Deployment Engineer

Clera · remoteRemotemid

In short

▸Ingeniero de despliegue técnico que implementa y mantiene asistentes de IA para clientes en producción.
▸Traduce procesos empresariales reales en flujos automatizados, integraciones y configuraciones robustas con CRM, calendarios y pagos.
▸Destacado: trabajas directamente con clientes finales y en tiempo real, siendo el responsable del éxito técnico del despliegue.

No se requiere inglés (el puesto está en alemán), pero el trabajo se hace con equipos inte

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

What they ask for

✓3+ años de experiencia en despliegue de sistemas de IA y flujos de automatización en producción.
✓Experiencia probada con sistemas basados en LLM: prompts, RAG, evaluación y manejo de fallos.
✓Capacidad de transformar procesos empresariales complejos en flujos de IA testables y confiables.
✓Construcción de integraciones con APIs, webhooks, CRM, calendarios, sistemas de tickets y pagos.
✓Habilidad para depurar problemas en producción y desplegar soluciones rápidas.
✓Conocimiento en infraestructura en la nube, observabilidad y depuración en entornos productivos.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

APIswebhooksCRMcalendarticketingpaymentsOAuthAPI keysLLMRAG

Who should you write to at Clera?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

About the Role We're a fast-growing, seed-stage European startup building an AI-powered phone assistant platform for small and medium-sized businesses. Our product automates inbound and outbound calls, appointment scheduling, customer service interactions, and more — and we're looking for a Forward Deployment Engineer to own the technical success of customer deployments end-to-end. This role sits at the intersection of product and customer outcomes. You'll translate real-world business requirements into reliable production setups, build integrations and glue code, and feed learnings back into the product to make every future deployment faster and smarter. You'll work closely with product, engineering, and go-to-market in a small, high-velocity team. What You'll Do Act as the technical bridge between product and customer setups — capturing requirements and translating them 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 CRM, calendar, ticketing, payments, and common auth patterns (OAuth, API keys). Develop small-to-medium features and glue code to map customer use cases to production systems, with appropriate tests, monitoring, and logging. Debug live issues across calls, flows, and data pipelines — and deploy rapid fixes under production conditions. Build reusable templates, deployment playbooks, and best practices to make setups scalable and repeatable. Maintain a fast feedback loop with the product team by surfacing pain points, feature gaps, and recurring patterns with concrete recommendations. Own deployment success and ensure customer setups function reliably in live environments. What We're Looking For Must-haves: 3+ years of hands-on experience in deployment engineering, delivering production AI integrations and automation workflows. Deep experience with AI/LLM-based systems: prompt design, tool use, RAG/knowledge retrieval, evaluation, and handling failure modes. Proven ability to translate complex business processes into robust, testable AI-driven workflows. Experience building integrations to third-party systems (APIs, webhooks, CRMs, calendars, ticketing, payments) including authentication patterns and data formats. Solid coding ability to implement glue code and features, with tests, monitoring, and logging. Cloud fundamentals: deployments, observability, and production debugging. Pragmatic, delivery-focused mindset — you ship fast and iterate. Nice to haves: TypeScript or Python coding experience. Experience with n8n or other workflow/automation tooling. Voice/telephony integration experience. SQL proficiency and monitoring/tracing tool experience. GDPR / Privacy-by-Design awareness. Benefits Salary: €60,000 – €90,000 per year, depending on experience. Fully remote role within Germany. Work in a small, high-ownership team at an early and fast-moving stage. Visa sponsorship is not available for this role. Location This is a fully remote position. Candidates must be based in Germany . No visa sponsorship is available. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Don't apply unprepared

We research who's interviewing you, tailor your CV and rehearse you live — first one free.