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Forward Deployed Engineer, Enterprise

Trabajo disponible en: 04810, Madrid, Andalucia, España
Empresa: Murphy AI
Tiempo completo puesto
Publicado en 2026-11-04
Especializaciones laborales:
  • Desarrollo de Software
    Ingeniero de IA, Ingeniero de Software
Rango Salarial o Referencia de la Industria: 90000 - 130000 EUR Anual EUR 90000.00 130000.00 YEAR
Descripción del trabajo

Murphy deploys AI agents for banks starting with the most straightforward business case: voice AI for debt collection. We’ve built a fully-fledged platform designed to optimize recovery rates while maintaining respectful and personalized communication.

Our AI-powered agents adapt instantly, engaging with debtors across channels like voice, messengers, email and SMS to maximize results while preserving trust.

We’re live with Santander, Revolut, BBVA and dozens others. We’ve proven the product in large-scale pilots with top-tier banks. And now we need to move fast to secure leadership in this $300Bn+ industry.

About the team

Collections agents only work in production when someone owns the build in detail. Each one handles regulated conversations, sensitive customer situations and payment outcomes, and has to behave correctly every time.

Forward Deployed Engineers own that build. They turn a customer's collections strategy, policies and systems into a working agent, prove it in a POC, and take it to full production. They work with Account Executives during the sale, with Deployment Strategists after go-live, and with Product and Engineering to make the platform better with every deployment.

About the role

As a Forward Deployed Engineer, you own the technical execution of AI agent builds for our enterprise customers, mainly banks and large lenders. You scope with the customer's technical and operations leads, design the agent, build and test it, and launch it on their systems. After launch, you own the agent's performance: you analyze production data, explain results to the customer, and decide what to change in the agent and the contact strategy.

Each deployment should leave behind patterns, tools and tests that make the next one faster.

You'll be based in Madrid and lead enterprise deployments for banks and large lenders in Spain.

In this role, you will
  • Own end-to-end delivery of enterprise agent builds, from POC scoping through implementation, evaluation and production launch.

  • Define the agent operating procedures (actions, guardrails, escalations) with the customer, and turn them into agent behavior.

  • Design and engineer the prompt and agent logic that drives identification, negotiation and payment conversations, across languages and channels.

  • Configure Murphy to fit each client’s needs on how and when to reach debtors: call windows, retry and frequency rules within each country's regulations, channel mix (voice, SMS, RCS, Whats App), payment links and hand-offs to human agents.

  • Build evaluation and simulation harnesses, plus regression tests against real call outcomes, to catch errors and drift before customers do.

  • Build, validate and maintain integrations with customer systems: core banking, collections platforms, data pipelines, telephony.

  • Diagnose failures from transcripts, traces and logs, find the root cause, and fix it in the agent or flag it to Engineering.

  • Analyze production performance (contact rates, promises, payments, funnel) with SQL and dashboards, explain changes to the customer, and turn findings into agent or strategy improvements.

  • Work with senior technical and operations stakeholders at the customer to define success metrics and deliver against timelines.

  • Support Account Executives with technical discovery and demos for strategic deals.

  • Turn recurring lessons into reusable templates and playbooks, and help train newer FDEs.

Your background looks something like this
  • 5+ years in a technical customer-facing role: forward deployed engineering, solutions engineering, implementation engineering, technical consulting or technical product management.

  • You write code and SQL, work with APIs and build integrations end to end.

  • Hands-on experience building with LLMs: prompting, evals, guardrails,…

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