Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чёткая ответственность за запуск AI-систем в production, работа с крупными клиентами и растущий рынок AI-финтеха делают вакансию сильной, хотя в стартапе возможны неопределённость и частая смена приоритетов.
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Темп стартапаОтветственность за запускРабота с LLMНа стыке AI и финтеха
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Forward Deployed Engineer, Enterprise - Paris (AI): Building and deploying production AI agents for banks and large lenders with an accent on prompt engineering, enterprise integrations, evaluation harnesses, and regulated debt-collection conversations. Focus on analyzing production performance, diagnosing agent failures, improving contact strategies, and taking customer deployments from POC to production.
Location: Paris, France; hybrid with 3 days per week in the Paris office and 2 days remote.
Company
hirify.global builds voice and multichannel AI agents for banks and lenders, initially focused on debt collection.
What you will do
Own enterprise agent delivery from POC scoping through implementation, evaluation, and production launch.
Define operating procedures, guardrails, escalations, prompts, and agent logic for identification, negotiation, and payment conversations.
Configure channel strategies, contact rules, payment links, and human-agent handoffs within country regulations.
Build evaluation and simulation harnesses, regression tests, and integrations with banking, collections, data, and telephony systems.
Diagnose failures using transcripts, traces, logs, SQL, and dashboards; improve agent performance and contact strategies.
Work with customer stakeholders, support technical sales, and turn deployment lessons into reusable playbooks.
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 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 environments and shaping solutions.
Native-level French and fluent English required.
Nice to have
Banking, lending, collections, or regulated customer communications experience.
Voice AI or telephony experience.
Computer Science, Engineering, or Math degree, or equivalent experience.
Culture & Benefits
Hybrid and flexible work setup 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.
Training, knowledge sharing, and exposure to other startups.
Inclusive and equitable workplace focused on diverse perspectives.
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 call with the founders.
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