Fullstack Engineer

Ahoy; Dublin; Híbrido; EUR 100.000 - 150.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

LLM agent systems

CRM/B2B products

Open-source work / talks

Descripción de la vacante

Ahoy is seeking a Fullstack Engineer in Dublin, available at Senior or Staff level, with hybrid work and in-person days. You will own features end to end— from ingestion and data modeling to API and customer-facing surfaces— and collaborate with founders on the product roadmap.

You’ll combine strong TypeScript/React with Python, work on distributed systems, API design, and build interfaces that people trust. Production ownership and on-call duties are expected.

Formación

• Strong experience shipping fullstack features across the stack.
• Deep TypeScript/React and Python expertise.
• Excellence in API design and data modeling.
• Experience with production systems and on-call duties.
• Hybrid work arrangement with in-person days in Dublin.

Responsabilidades

• Ship whole features - the ingestion path, the data model, the API, and the surface a customer touches.
• Build the capture path - email, calendar, calls - and the pipeline that turns raw activity into records people trust.
• Build the surfaces where agent work becomes visible - review queues, one-tap approval, the diff between what the CRM knew and what it knows now.
• Work on how agents reason over CRM data: retrieval, tool use, evals, and the guardrails that keep a human in the loop.
• Own production. Instrumentation, on-call, and cost and latency budgets that hold under load.
• Pair with the founders on what to build next. Argue when something doesn't make sense.

Conocimientos

TypeScript

React

Python

Distributed systems

API design

UI/UX

Debugging production

Hybrid work

Descripción del empleo

Fullstack Engineer

We hire this role at both Senior and Staff level.

• Dublin
• Full-time
• Hybrid

You own features end to end, from the pipeline that captures the activity to the surface where someone approves what the agent did about it. Ahoy is a system of action, not just a system of record, so the interesting work here crosses the seam: the data model, the agent reasoning over it, and the interface that makes both legible enough to trust.

What you'll do

• Ship whole features - the ingestion path, the data model, the API, and the surface a customer actually touches.
• Build the capture path - email, calendar, calls - and the pipeline that turns raw activity into records people trust.
• Build the surfaces where agent work becomes visible - review queues, one-tap approval, the diff between what the CRM knew and what it knows now.
• Work on how agents reason over CRM data: retrieval, tool use, evals, and the guardrails that keep a human in the loop.
• Own production. Instrumentation, on-call, and cost and latency budgets that hold under load.
• Pair with the founders on what to build next. Argue when something doesn't make sense.

What you bring

• Strong TypeScript and React on one side, strong Python on the other. Real depth in one, real competence in both.
• Distributed-systems fundamentals: databases, queues, idempotency, async work.
• API design you'd be happy to hand to another team without a meeting.
• A real eye for interface detail. Give you a rough spec and a Figma file and you come back with something better than both.
• You've debugged something in production that no runbook covered, then written the runbook.
• Hybrid out of Dublin. We work in person several days a week.

Senior or Staff?

• Senior. 5+ years shipping production software across the stack. You own features end to end, including the operational reality that comes with them.
• Staff. 8+ years, including time at Staff / Principal / Tech Lead level. You set architecture across services and surfaces, and you've shipped systems at meaningful scale rather than just diagrammed them.
• Not sure? Apply anyway and say so. We'll work it out on the call.

Bonus

• Production experience with LLM agent systems - orchestration, retrieval, evals, cost and latency tuning.
• You've built CRM, sales tech, or other data-dense B2B products.
• Open-source work, writing, or talks that show how you reason about systems.