Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указанаразвернуть
На похожих ролях по рынку
$72к$105кмедиана$144к
46 в выборке
На СНГ рынке: $4.3к/мес ($3.7к - $5к)
90
Крутая вакансия
развернуть
Здесь можно отвечать за AI-продукты в продакшене в растущем финтехе: задачи и зона ответственности описаны четко, стек современный. Главный барьер - значительный опыт разработки агентных систем в продакшене.
Агенты в продакшене
Современный стек
Растущий продукт
Финтех с высокими ставками
?Нужен французский
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Engineer - LLM Agents (Python) H/F (AI/Banking): Building production-grade banking agents and AI-powered automations on top of a core banking platform with an accent on agentic workflows, retrieval systems, integrations, and reliability. Focus on designing tool-using LLM systems, evaluating quality, enforcing security and compliance controls, and integrating agents with banking data and APIs.
Location: Boulogne-Billancourt, France; hybrid work with up to 2 remote days per week
Company
hirify.global builds a core banking platform for banks and neobanks, supporting accounts, payments, cards, and operations for more than 30 regulated financial institutions in 15 countries.
What you will do
Build and ship AI products from prototypes through production deployment.
Own the architecture of the agentic platform and integrate foundation models, agent frameworks, and AI engineering advances.
Design reliable workflows combining LLMs, tools, banking data, and human oversight.
Develop context and retrieval systems using embeddings, vector search, hybrid retrieval, reranking, and knowledge ingestion.
Implement observability, evaluation, auditability, tenant isolation, explainability, and safe failure mechanisms for regulated banking use cases.
Requirements
At least 5 years of software engineering experience, including significant hands-on experience building LLM-based agent systems in production.
Strong Python backend skills, including REST APIs, asynchronous programming, and automated testing.
Production experience with tool calling, RAG, agent context and memory management, and LLM quality evaluation.
Ability to design and integrate complex, data-intensive production systems.
Experience monitoring and optimizing production LLM systems through observability, tracing, and cost and latency control at scale.
Working knowledge of guardrails and defenses against prompt injection.
Fluency in French and English, both written and spoken.
Master’s degree in Computer Science, Machine Learning, AI, Engineering, or equivalent hands-on experience.
Nice to have
Strong teamwork and product sensitivity, including the ability to challenge technically unrealistic specifications.
Proactive, autonomous, and entrepreneurial mindset suited to a scale-up.
Experience in a regulated environment such as banking, insurance, or healthcare, where audit trails and human control are required.
Culture & Benefits
Hybrid work with up to 2 remote days per week.
25 days of paid vacation plus 12 additional days off per year.
Alan Blue health insurance and a Swile meal card.
Brand-new offices near Metro Line 10 in Boulogne-Billancourt.
Hiring process
Video call with the HR Manager, followed by a video call about the AI product vision and role.
60-minute live coding session.
Final 60-minute meeting at the Boulogne office with the Chief of Staff.
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →