Forward Deployment Engineer

This role sits at the technical intersection of product and customer deployments, making sure fonio.ai is running reliably in production for real customers and that learnings feed back into the product. You’ll own end-to-end deployments — from requirements capture through integrations, glue code and monitoring — and work closely with product, engineering and go‑to‑market to deliver fast, repeatable outcomes.

What you'll do

• Act as the technical bridge between product and customer setups, translating requirements into robust implementations.
• Lead rollouts of fonio.ai setups 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 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.
• Own deployment success and ensure customer setups function reliably in live calls.
• Work across AI logic, integrations and cloud/infra topics within a small, high‑velocity team.

What fonio.ai is looking for

• Several years of practical experience capturing customer requirements and translating them into implementation plans.
• Proven experience building and rolling out production workflows, data flows, prompts and guardrails for AI applications.
• 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.
• Deep understanding of LLM‑based systems (prompting, tool use, RAG/knowledge, evaluation and failure modes).
• 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 that emphasizes shipping fast and iterating.
• Bonus: experience with voice/telephony, n8n/automations, TypeScript or Python, SQL, monitoring/tracing or GDPR/privacy considerations.