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4 дня назад

Forward Deployed Engineer, Enterprise (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Forward Deployed Engineer, Enterprise (AI): Building and deploying production AI agents for enterprise banks and lenders with an accent on LLM prompting, integrations, regulated communications, and production performance. Focus on designing agent logic and guardrails, building evaluation and regression harnesses, integrating banking and telephony systems, and diagnosing live-agent failures.

Location: Barcelona, Spain; hybrid setup with 3 days per week at the Poblenou office and 2 days remote. The role leads enterprise deployments for banks and large lenders in Spain.

Company

hirify.global builds voice and multichannel AI agents for debt collection, serving banks and lenders through a platform covering voice, messaging, email, and SMS.

What you will do

  • Own end-to-end delivery of enterprise AI agent builds from POC scoping through implementation, evaluation, and production launch.
  • Define operating procedures, guardrails, escalations, contact strategies, payment flows, and agent behavior with customer stakeholders.
  • Design prompts and agent logic for identification, negotiation, and payment conversations across languages and channels.
  • Build evaluation and simulation harnesses, regression tests, and integrations with core banking, collections, data, and telephony systems.
  • Analyze transcripts, traces, logs, SQL, dashboards, and production funnels to diagnose failures and improve agent performance.
  • Support technical discovery and demos, create reusable deployment playbooks, and help train newer Forward Deployed Engineers.

Requirements

  • 5+ years in a technical customer-facing role such as forward deployed engineering, solutions engineering, implementation engineering, technical consulting, or technical product management.
  • Ability to write code and SQL, work with APIs, and build end-to-end integrations.
  • Hands-on experience building with LLMs, including prompting, evaluations, guardrails, harnesses, and tool use.
  • Experience delivering production systems for enterprise customers requiring structured testing and iteration.
  • Ability to explain technical decisions to senior stakeholders and turn requirements into delivery plans.
  • Comfort working in fast-moving, ambiguous environments where the solution is shaped as well as built.
  • Native-level Spanish and fluent English required.

Nice to have

  • Experience in banking, lending, collections, or regulated customer communications.
  • Voice AI or telephony experience.
  • Computer Science, Engineering, or Math degree, or equivalent experience.

Culture & Benefits

  • Hybrid and flexible work with 3 office days and 2 remote days by default.
  • Stock options and the opportunity to contribute during the startup journey.
  • Continuous development through training, knowledge sharing, and startup ecosystem exposure.
  • Daily meals with 50% of each order covered, plus flexible compensation for transport and restaurants through Cobee.
  • 50% of a Panot e-bike subscription covered for commuting.

Hiring process

  • First interview with a future teammate, followed by a technical deep dive with the Hiring Manager and potentially another team member.
  • Practical tech assessment or business case, followed by a conversation with the founders.

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