5 days ago
Remote, WorldwideMid Level
Responsibilities
- Translate customer requirements into robust, production-ready implementations.
- Lead production rollouts of AI assistant workflows, logic, data flows, prompts, and guardrails.
- Implement integrations with third-party systems using APIs, webhooks, CRM, calendar, ticketing, and payment services.
- Develop features and glue code with tests, monitoring, and logging.
- Debug live production issues across calls, flows, and data pipelines and deploy rapid fixes.
- Build reusable templates, deployment playbooks, and scalable best practices.
- Provide the product team with customer pain points, feature gaps, recurring patterns, and recommendations.
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 or knowledge retrieval, evaluation, and failure-mode handling.
- Proven experience owning end-to-end production deployments.
- Solid coding skills, with TypeScript or Python strongly preferred, plus experience writing tests, monitoring, and logging.
- Experience integrating third-party APIs and webhooks using OAuth, API keys, and common data formats.
- Ability to translate complex business processes into robust, testable AI-driven workflows.
- Cloud deployment, observability, and production debugging fundamentals.
- Native or fluent German and fluent English.
- Bonus experience with voice or telephony integrations, n8n or similar automation tooling, SQL, or GDPR/Privacy-by-Design awareness.
Benefits
- Salary range of €60,000–€90,000 annually.
- Fully remote role based in Germany.
- Visa sponsorship is not available for this role.
Tech Stack
Categories
Forward Deployed