Forward Deployment Engineer
Role details
Job location
Tech stack
Job description
This is a technical role at the intersection of product and customer deployments for a fast-growing, Seed-stage European AI voice assistant SaaS startup. You'll own the full lifecycle of customer deployments - from requirements capture through integrations, glue code, and monitoring - ensuring AI-powered phone assistant setups run reliably in production. You'll work closely with product, engineering, and go-to-market teams to deliver fast, repeatable outcomes, and maintain a direct feedback loop that shapes the product roadmap., * Act as the technical bridge between product and customer setups, translating business requirements into robust implementations.
- Lead end-to-end production rollouts including AI workflows, logic, data flows, prompts, and guardrails.
- Implement integrations with third-party systems via APIs and webhooks, covering CRM, calendar, ticketing, and payment platforms.
- Develop small-to-medium features and glue code to map customer use cases to production systems, complete with tests, monitoring, and logging.
- Debug live issues across calls, flows, and data pipelines - and ship rapid fixes under production conditions.
- Build reusable templates, deployment playbooks, and best practices to make customer setups scalable and repeatable.
- Surface pain points, feature gaps, and recurring patterns back to the product team with concrete recommendations.
- Own deployment success and ensure customer environments function reliably across AI logic, integrations, and cloud/infra layers.
Requirements
Must-have:
- 3+ years of experience in deployment engineering delivering production AI integrations and automation workflows.
- Proven hands-on experience with LLM-based applications: prompting, tool use, RAG/knowledge systems, evaluation, and failure mode handling.
- Solid coding skills for implementing glue code and features, with experience writing tests and setting up monitoring and logging.
- Experience designing and rolling out complex, testable AI-driven workflows from business requirements.
- Hands-on integration experience with APIs, webhooks, and common auth patterns (OAuth, API keys), including CRM, calendar, ticketing, and payment systems.
- Cloud fundamentals: deployments, observability, and production debugging.
- Pragmatic, delivery-focused mindset - you ship fast and iterate.
Nice to have:
- TypeScript or Python coding experience.
- Experience with n8n or similar workflow automation tooling.
- Voice/telephony integration experience.
- SQL proficiency and monitoring/tracing tooling familiarity.
- GDPR / Privacy-by-Design awareness.
Benefits & conditions
- Salary: $60,000 - $90,000 USD annually.
- Fully remote position within a high-velocity, collaborative startup environment.
- Visa sponsorship: Not available.