Dublin, Ireland | On-site
Full-time
Overview
Experience Required: 2+ years in software engineering, technical consulting, or a customer-facing engineering role
Education: Degree in Mathematics, Engineering, Computer Science, or equivalent practical experience
About Whippy
Whippy is an AI-powered enterprise contact centre that automates real business workflows across voice, SMS, chat, and APIs.
We integrate with telephony providers, CRMs, ATS platforms, and internal enterprise systems to power AI agents that handle inbound calls, qualification flows, onboarding processes, support queries, and operational tasks.
The Role
As a Forward Deployed Engineer, you will embed directly into enterprise deployments and own the technical delivery of integrations between Whippy and customer systems.
You will operate at the intersection of APIs, telephony, databases, and AI workflows. You will design and ship production-grade systems, debug live issues, and convert customer-specific requirements into reusable platform capabilities.
This is a high-ownership role. You will work closely with customers, product, and core engineering to ensure deployments are robust, scalable, and repeatable.
What You’ll Do
• Own end-to-end delivery of production integrations across CRM, ATS, telephony, and internal systems
• Design and implement reliable data flows between Whippy and external platforms
• Handle authentication, rate limits, retries, and failure modes in distributed systems
• Debug and resolve non-trivial production issues across webhooks, async workflows, and external APIs
• Improve logging, monitoring, and observability of deployment pipelines
• Translate ambiguous customer requirements into clear technical designs
• Identify repeated patterns and convert one-off implementations into reusable connectors or internal tooling
• Collaborate with product and engineering to push field learnings back into the platform
What We’re Looking For
• 2+ years of experience in software engineering or technical consulting
• Strong backend fundamentals and comfort working with APIs and relational databases such as Postgres
• Experience integrating third-party systems or working with external APIs in production
• Understanding of distributed systems concepts such as idempotency, retries, async processing, and error handling
• Experience debugging production systems under time pressure
• Clear, structured communicator able to explain trade-offs to both technical and non-technical stakeholders
• Ownership mindset and comfort operating with ambiguity
Nice to Have
• Experience with telephony, event-driven systems, or webhook-based architectures
• Exposure to AI workflows, automation systems, or LLM integrations
• Experience working directly with enterprise customers, e.g in consulting, banking or equivalent
What Success Looks Like
Within 90 days, you will:
• Own at least one enterprise deployment end-to-end
• Resolve a meaningful production issue independently
• Ship at least one reusable improvement that reduces future deployment effort
• Demonstrate strong judgment around scope, trade-offs, and customer impact