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7 дней назад

Forward Deployed Engineer, Mid-Market (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
c1
Страна
Mexico
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, Mid-Market (AI): Launching and improving voice AI debt-collection agents for lenders and other customer segments in Mexico with an accent on agent configuration, integrations, testing, and performance analysis. Focus on running parallel implementations, tuning contact strategies, automating repeatable deployment work, and turning production insights into scalable templates and tooling.

Location: Mexico City, Mexico; hybrid with 3 days per week in the office and 2 days remote

Company

hirify.global deploys voice and multichannel AI agents for debt collection, helping banks and other organizations improve recovery rates through personalized communication.

What you will do

  • Run multiple mid-market implementations from kickoff to go-live on fixed timelines of approximately four weeks.
  • Configure and adapt AI agents, contact windows, retry and frequency rules, channel mixes, payment links, and human hand-offs.
  • Set up customer data imports and exports through standard integration flows and test agents with simulations and evaluations.
  • Analyze production performance using SQL and dashboards, explain results to customers, and improve agents and contact strategies.
  • Turn repeated implementation work into templates, scripts, tooling, and standard workflows for customer segments.
  • Document live customer handovers and share product gaps and feedback with Product and Engineering.

Requirements

  • 1–3 years of experience in software engineering, solutions engineering, implementation, technical support, or technical consulting; strong graduates are welcome.
  • Ability to write Python and/or TypeScript and SQL, work with APIs, and handle data files.
  • Interest in structured, repeatable work and automating implementation processes.
  • Ability to manage several projects at once and keep each one on schedule.
  • Clear communication with customers and teammates.
  • Native-level Spanish and fluent English required.

Nice to have

  • Hands-on experience with LLMs, including prompting, evaluations, or building small agents.
  • Exposure to collections, lending, telecommunications, utilities, or other customer operations.
  • Computer Science, Engineering, or Math degree, or equivalent experience.

Culture & Benefits

  • Hybrid and flexible working arrangement with 3 office days and 2 remote days by default.
  • Competitive salary based on skills, experience, and impact.
  • Stock options and the opportunity to contribute to an early-stage startup.
  • Training, knowledge-sharing, and exposure to other startups in the ecosystem.
  • Diverse, inclusive, and equitable workplace.

Hiring process

  • First interview focused on background, motivation, and expectations.
  • Second interview with the Hiring Manager and potentially another team member, including technical discussion and real scenarios.
  • Technical assessment or business case, followed by a call with the founders.

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