AI Summary
As a Deployment Engineer, you will own end-to-end deployments of AI phone assistant configurations, translating requirements into robust implementations. You will work closely with product, engineering, and go-to-market teams to deliver fast, repeatable outcomes for real customers in production. This is a technical role sitting at the intersection of product and customer deployments within a fast-growing AI voice/phone automation SaaS startup.
Key Highlights
Own end-to-end deployments of AI phone assistant configurations
Translate requirements into robust implementations
Work closely with product, engineering, and go-to-market teams
Key Responsibilities
Act as the technical bridge between product and customer setups
Lead rollouts of AI phone assistant configurations in production
Implement integrations to third-party systems via APIs, webhooks, and common services
Technical Skills Required
Benefits & Perks
Salary: $60,000 – $90,000 USD annually
Fully remote position
Nice to Have
TypeScript or Python coding experience
Experience with voice/telephony integrations
n8n or other workflow automation tooling experience
Job Description
About The Role
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.
What You'll Do
- 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.
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- 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.
- 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.
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- Salary: $60,000 – $90,000 USD annually.
- Fully remote position.
- Note: Visa sponsorship is not available for this role.
The company is headquartered in Vienna, Austria. This role is fully remote, though candidates based in or able to overlap with European time zones are preferred given the customer base.
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