Forward-Deployed AI Solutions Engineer

Aircall.io, Inc.

New York (NY)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision insurance
401k with company matching
Unlimited PTO
Wellness, commuter, and childcare Reim
Generous parental leave

Job summary

Aircall is hiring a Forward‑Deployed Engineer to own end‑to‑end delivery of low‑code AI solutions for Aircall customers. You’ll design, implement, and operationalize workflows connecting the AI Agent with CRMs, help desks, and communication tools.

You’ll also drive team upskilling and create reusable frameworks for scalable deployments. This hands‑on role requires fluent API skills, project leadership, and eagerness to learn and scale new models that empower customers and teammates within a

Qualifications

  • 5–8 years in technical consulting, solutions engineering, or integration‑focused project management.
  • Strong command of APIs, webhooks, and data structures (JSON, REST, GraphQL).
  • Hands‑on experience with low‑code orchestration tools and CRM automation.

Responsibilities

  • Lead customer discovery and design sessions to map processes and define architecture.
  • Design, build, and deploy integrations with CRM automation tools and APIs.
  • Collaborate with Engineering to validate feasibility and share learnings for product improvements.
  • Configure and optimize the AI Agent—defining intents, prompts, actions, and metrics.
  • Manage complex cross‑functional deployments with timelines and scope.

Skills

APIs & integrations
Low-code platforms
CRM automation
Cross-functional leadership
Communication skills

Tools

Zapier
Make
n8n
Workato
HubSpot
Salesforce

Job description

Aircall is hiring a Forward‑Deployed Engineer to own end‑to‑end delivery of low‑code AI solutions for Aircall customers. You’ll design, implement, and operationalize workflows connecting the AI Agent with CRMs, help desks, and communication tools.

You’ll also drive team upskilling and create reusable frameworks for scalable deployments. This hands‑on role requires fluent API skills, project leadership, and eagerness to learn and scale new models that empower customers and teammates within a

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