Forward Deployment Engineer
New
C
CleraAI Voice Communication
Fully remote, based in Germany.Full-TimeMiddle
Salary60,000 - 90,000 EUR per year
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Job Details
- Languages
- Native or fluent German and fluent English
- Experience
- 3+ years
- Required Skills
- PythonCloud ComputingOAuthTypeScriptRESTful APIsLLM
Requirements
- 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 language proficiency.
- Pragmatic, delivery-focused mindset; comfortable shipping fast and iterating.
Responsibilities
- 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.
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