Forward Deployment Engineer

About the Role

Join a fast-growing AI communications software team at the intersection of product and customer deployments. You will own the path from customer requirements to reliable production implementations, while sharing practical learnings that improve the product.

What You'll Do

• Translate customer requirements into robust implementation plans and production workflows.
• Lead deployments involving AI logic, prompts, guardrails, data flows, and monitoring.
• Build integrations with third-party systems using APIs, webhooks, and common authentication patterns.
• Write and test glue code and product features, with appropriate logging and observability.
• Investigate live production issues across calls, workflows, and data, then implement fixes.
• Create reusable templates, deployment playbooks, and practices that support repeatable rollouts.
• Share recurring customer needs and product gaps with clear recommendations.
• Collaborate across product, engineering, and go-to-market teams to ensure deployments work reliably in live use.

What We're Looking For

• Several years of experience translating customer requirements into production implementation plans.
• Production experience with LLM applications, including prompting, tool use, retrieval-augmented generation, evaluation, and failure modes.
• Hands-on experience with APIs, webhooks, authentication, and third-party integrations.
• Strong coding skills for building integrations and features, with experience in testing, monitoring, logging, and production debugging.
• Cloud deployment and observability fundamentals, plus a pragmatic, delivery-focused approach.
• German proficiency at B2 level or above; exceptional candidates without German proficiency may be considered for escalation.
• Voice or telephony integrations are a plus. Experience with TypeScript or Python, SQL, workflow automation, monitoring and tracing, or privacy considerations is also helpful.