Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная senior-роль даёт возможность отвечать за production LLM-системы в финансовой инфраструктуре, но зарплата не указана, а компания прямо делает ставку на высокую интенсивность работы.
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Высокий темпЗарплата не указанаСовременный стекПолная ответственностьAI в финтехе
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior AI Engineer (LLM/Agentic Systems): Building and operating production AI workflows for a stablecoin-native banking platform with an accent on agentic systems, LLM pipelines, evaluation, and reliability. Focus on designing multi-step workflows, integrating models with backend services, monitoring quality and latency, and maintaining audit trails for regulated financial products.
Location: Remote, based out of Canada
Company
hirify.global is a stablecoin-native banking platform for global enterprises, providing corporate cards, payments, treasury, and spend management.
What you will do
Design and own agentic and LLM-based workflows combining extraction, retrieval, reasoning, tool use, and human review.
Build production-grade LLM pipelines with structured outputs, validation, fallbacks, confidence scoring, and model selection.
Integrate AI services with backend systems through reliable APIs, retries, graceful degradation, and customer data isolation.
Maintain auditable AI decisions suitable for a regulated financial product.
Establish shared AI engineering patterns and tooling, guide peers, and promote effective use of coding agents.
Requirements
7+ years of professional software engineering experience, including 2+ years building and operating AI or LLM systems in production.
Experience owning large systems or workflows end to end, from scoping and design through launch and iteration.
Hands-on experience with LLM APIs such as Anthropic or OpenAI, including structured outputs, error handling, and evaluation.
Experience designing agentic or multi-step workflows with tool use, orchestration, and human review steps.
Strong Python skills and backend fundamentals including REST APIs, relational databases, async patterns, and AWS, GCP, or Azure.
Professional fluency in written and spoken English is required.
Culture & Benefits
Remote work for candidates based in Canada.
Hands-on ownership of complete workflows rather than isolated features.
Close collaboration with Product, Backend Engineering, and customers.
Focus on solving complex problems in financial infrastructure and AI engineering.
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