Rol IA · Oferta abierta

Senior LLM Engineer — customer support AI

Índice de mercado

Intercom

Tiempo completo
Senior
Fin AI
Hybrid
124 St Stephen's Green, Dublin 2, D02 C628, Ireland · Hybrid
Dublin, Ireland
EUR 90k–130k/year + equity

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Empleo: Tiempo completo
Modalidad: Hybrid
Ubicación: 124 St Stephen's Green, Dublin 2, D02 C628, Ireland · Hybrid
Compensación: EUR 90k–130k/year + equity
Nivel de experiencia: Senior
Equipo: Fin AI
Beneficios

Sobre el rol

Qué busca el equipo y cómo encaja el puesto.

Intercom is hiring a Senior Senior LLM Engineer — customer support AI on the Fin AI team (Hybrid · Dublin, Ireland). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Intercom builds AI-first customer service — Fin AI agent and messenger — from Dublin, serving thousands of SaaS companies globally.

Senior LLM Engineer (hybrid Dublin): support resolution, RAG over help centers, and tool use with resolution-rate and CSAT metrics.

About Intercom

Irish unicorn HQ on St Stephen's Green, Dublin.
Fin AI agent is a flagship product with strict quality bars.
Hybrid culture with EU and US customer base.

What you will do

Improve retrieval and reranking for customer knowledge bases.
Build evals for answer faithfulness and escalation triggers.
Integrate agents with CRM, billing, and ticketing APIs.

Stack & environment

Python, LangChain, PyTorch, AWS.
Hybrid Dublin 2.

What we look for

Production LLM/RAG for customer support or SaaS.
Eligible to work in Ireland.

Habilidades que buscamos

Qué implica cada capacidad en este rol — no solo una lista de palabras clave.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
PyTorch

Herramientas y stack

Plataformas y productos mencionados para este rol (APIs, IDEs, BBDD vectoriales, CRM, diseño, etc.).

AWSTool
Regular use of AWS in the LLM & generative AI stack—configuration, debugging, and team conventions.
DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.

Encajas muy bien si…

Adaptado a esta oferta — úsalo para comprobar tu encaje antes de aplicar.

You can show evidence in your application: Support copilots, RAG over help centers, resolution-rate metrics.
Several of these show up in recent shipped work—not only on your CV: Python, LangChain, PyTorch, SQL, and AWS.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Dublin, Ireland)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: EUR 90k–130k/year + equity, benefits in At a glance) and your expectations align.

Aplicar

Solo cuentas candidato: añade tu titular y bio en , y opcionalmente un enlace o PDF de CV para que los reclutadores vean tu CV completo. Luego escribe un breve pitch — las candidaturas usan el correo de tu cuenta.

Lo que pide la empresa

Support copilots, RAG over help centers, resolution-rate metrics.

Inicia sesión con cuenta candidato para aplicar

Regístrate, añade titular y bio; luego podrás adjuntar enlace o PDF de CV en Mi cuenta antes de aplicar. Así las candidaturas quedan ligadas a tu perfil.

Iniciar sesión Crear cuenta candidato

Sugerencias

Talento IA que podría interesarte

Perfiles ordenados por solape con habilidades y herramientas de este rol — útil si contratas equipo o comparas candidatos.

Aún no hay coincidencias cercanas en el directorio — prueba con tus filtros.

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Senior LLM Engineer — customer support AI

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