Forward Deployment Engineer

About the Role Join a fast-growing AI communications team as the technical bridge between product and customer deployments. You will own implementations from requirements gathering through production integrations and monitoring, while feeding deployment learnings back into the product. What You'll Do Translate customer requirements into robust production implementations. Lead deployments, configuring workflows, data flows, prompts, and guardrails. Build integrations with third-party systems using APIs, webhooks, and common authentication patterns. Develop and test features and glue code, with appropriate monitoring and logging. Debug production issues across calls, workflows, and data, and ship timely fixes. Create reusable templates, deployment playbooks, and implementation standards. Share recurring customer needs and product gaps with concrete recommendations. Work across AI logic, integrations, and cloud infrastructure to ensure reliable live deployments. What We're Looking For Several years of experience translating customer requirements into production implementation plans. Hands-on production experience with LLM applications, including prompting, tool use, RAG, evaluation, and failure modes. Strong coding skills for integrations and feature development, with experience in APIs, webhooks, authentication, testing, monitoring, and logging. Cloud fundamentals, including deployment, observability, and production debugging. German proficiency at B2 level or above; exceptional candidates without German may be considered. Experience with voice or telephony integrations is a plus. Familiarity with TypeScript or Python, SQL, workflow automation, monitoring and tracing, or privacy considerations is also valuable. Compensation & Benefits Base salary: €60,000 to €90,000 annually. Visa sponsorship is not available. Location Remote within Germany. Originally posted on Himalayas