Forward Deployment Engineer
Role details
Job location
Tech stack
Job description
This is a technical role sitting at the intersection of product and customer deployments within a fast-growing AI voice/phone automation SaaS startup based in Vienna, Austria. You will own end-to-end deployments - from requirements capture through integrations, glue code, and monitoring - and work closely with product, engineering, and go-to-market teams to deliver fast, repeatable outcomes for real customers in production., * Act as the technical bridge between product and customer setups, translating requirements into robust implementations.
- Lead rollouts of AI phone assistant configurations in production, including workflows, logic, data flows, prompts, and guardrails.
- Implement integrations to third-party systems via APIs, webhooks, and common services (CRM, calendar, ticketing, 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.
- Create 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.
- Work across AI logic, integrations, and cloud/infra topics within a small, high-velocity team.
Requirements
Do you have a Master's degree?, * 3+ years working in deployment engineering delivering production AI integrations and automation workflows.
- Proven experience with AI/LLM-based systems: prompting, tool use, RAG/knowledge retrieval, evaluation, and handling failure modes.
- Hands-on experience implementing integrations (APIs, webhooks) and common auth patterns (OAuth, API keys).
- Strong coding skills to implement glue code and features, plus testing, monitoring, and logging experience.
- Workflow-oriented thinking to design robust, testable flows and deployment standards.
- Basic cloud deployment and observability experience for debugging in production.
- Pragmatic, delivery-focused mindset - ship fast and iterate.
Nice to Have:
- TypeScript or Python coding experience.
- Experience with voice/telephony integrations.
- n8n or other workflow automation tooling experience.
- SQL proficiency.
- GDPR/Privacy-by-Design awareness.
- Monitoring/tracing tool experience.
Benefits & conditions
- Salary: $60,000 - $90,000 USD annually.
- Fully remote position.
- Note: Visa sponsorship is not available for this role.