Forward Deployment Engineer

About the Role

This role sits at the technical intersection of product and customer deployments for a fast-growing AI voice and communication platform serving SMEs. You will own end-to-end rollouts, from requirements capture through integrations and monitoring, ensuring production setups run reliably for real customers. Your findings feed directly back into the product, making this a high-impact position on a small, high-velocity team.

What You'll Do

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

Lead production rollouts of AI assistant setups, including workflows, logic, data flows, prompts and guardrails.

Implement integrations with third-party systems via APIs, webhooks and common services such as CRM, calendar, 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, and deploy rapid fixes under production conditions.

Build reusable templates, deployment playbooks and best practices to make setups scalable and repeatable.

Maintain a fast feedback loop into product by surfacing pain points, feature gaps and recurring patterns with concrete recommendations.

What We're Looking For

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

Proven experience building and rolling out production workflows, data flows, prompts and guardrails for AI applications.

Deep understanding of LLM-based systems, including prompting, tool use, RAG, evaluation and failure modes.

Hands-on experience implementing integrations (APIs, webhooks) and common auth patterns such as OAuth and API keys.

Strong coding skills (TypeScript or Python preferred) to implement glue code and features, with testing, monitoring and logging experience.

Basic cloud deployment and observability experience for debugging in production.

German proficiency at B2 level or above is strongly preferred.

Bonus: experience with voice or telephony integrations, workflow automation tools, SQL, monitoring/tracing, or GDPR/privacy considerations.

Pragmatic, delivery-focused mindset with a strong sense of ownership and comfort in fast-moving startup environments.

Compensation & Benefits

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

Location

Fully remote, open to candidates based in Germany or Austria.