Forward Deployment Engineer

Department: Engineering

Location: remote

Employment Type: FullTime

About the Role

This is a technical role at the intersection of product and customer deployments for a fast-growing AI phone assistant platform serving small and medium-sized businesses. You will own end-to-end rollouts, from requirements capture through integrations, glue code, and monitoring, ensuring live customer setups run reliably in production. Your work directly shapes the feedback loop between real-world deployments and the product roadmap.

What You'll Do

• Serve as the technical bridge between product and customer setups, translating requirements into robust production implementations.

• Lead rollouts of AI assistant configurations, including workflows, logic, data flows, prompts, and guardrails.

• Implement integrations with third-party systems via APIs, webhooks, and common services such as CRMs, calendars, ticketing, and payments.

• Develop small-to-medium features and glue code to map customer use cases to production systems, including 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.

• Surface product pain points, feature gaps, and recurring patterns with concrete recommendations to keep the feedback loop tight.

What We're Looking For

• Several years of practical experience capturing customer requirements and translating them into production implementation plans.

• Hands-on production experience with LLM-based applications, including prompting, tool use, RAG, evaluation, and failure modes.

• Proven experience building and integrating APIs, webhooks, and common authentication patterns such as OAuth and API keys.

• Strong coding ability to implement features and glue code, with solid testing, monitoring, and logging practices.

• Familiarity with cloud deployment fundamentals and observability tooling for production debugging.

• German language proficiency at B2 level or above.

• Pragmatic, delivery-focused mindset with a bias toward shipping fast and iterating.

• Bonus: experience with voice or telephony integrations, workflow automation tools, TypeScript or Python, SQL, or GDPR and data privacy considerations.

Compensation & Benefits

Salary range: 60,000 to 90,000 EUR annually. Visa sponsorship is not available for this role.

Location

Fully remote, based in Germany.