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4 дня назад

Forward Deployed Engineer, Enterprise (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
UK
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 prompt engineering, integrations, evaluation, and regulated debt-collection conversations. Focus on designing agent guardrails, analyzing production performance, and solving complex deployment and reliability challenges across voice and messaging channels.

Location: London, United Kingdom; hybrid setup with 3 days per week in the London office and 2 days remote. The role leads enterprise deployments for banks and large lenders in the UK and Ireland.

Company

hirify.global builds voice and multichannel AI agents for banks, initially focused on debt collection and recovery optimization.

What you will do

  • Own end-to-end delivery of enterprise AI agent builds from POC scoping through implementation, evaluation, testing, and production launch.
  • Define operating procedures, guardrails, escalations, contact strategies, channel mixes, payment links, and human hand-offs with customers.
  • Design and engineer prompts, agent logic, evaluation and simulation harnesses, and regression tests for voice and messaging conversations.
  • Build and maintain integrations with core banking, collections, data pipeline, and telephony systems.
  • Diagnose failures using transcripts, traces, logs, SQL, and dashboards; analyze production performance and improve agents and contact strategies.
  • Collaborate with customer stakeholders, Account Executives, Deployment Strategists, Product, and Engineering; create reusable templates and train newer FDEs.

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 integrations end to end.
  • Hands-on experience building with LLMs, including prompting, evaluations, guardrails, harnesses, and tool use.
  • Experience delivering production systems for enterprise customers with structured testing and iteration.
  • Ability to explain technical decisions to senior stakeholders and turn requirements into delivery plans.
  • Comfort working in fast-moving, ambiguous situations and shaping solutions as well as building them.
  • Fluent English required.

Nice to have

  • Spanish, Portuguese, French, Arabic, German, or Italian.
  • 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 model with 3 office days and 2 remote days per week.
  • Competitive salary based on skills, experience, and impact.
  • Stock options and the opportunity to contribute to an early-stage startup journey.
  • Continuous learning through training, knowledge-sharing, and exposure to other startups.
  • Inclusive and equitable workplace focused on diverse perspectives and employee empowerment.

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 focused on role-relevant challenges.
  • Final conversation with the founders.

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