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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата не указанаАктуальные AI-технологииОтветственность за результатРастущий финтех
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior AI Engineer (LLM/Agentic AI): Building and operating end-to-end AI workflows for a stablecoin-native banking platform with an accent on LLM pipelines, agentic systems, evaluation, and production reliability. Focus on designing multi-step workflows, integrating AI services with backend systems, and monitoring quality, cost, latency, and auditability in a regulated financial product.
Location: Remote, based in the United States
Company
hirify.global operates 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 end to end, including extraction, retrieval, reasoning, tool use, and human review points.
Build production-grade LLM pipelines with prompt and context design, structured outputs, validation, fallbacks, and confidence scoring.
Integrate AI services with backend systems through reliable APIs, retries, graceful degradation, and per-customer data isolation.
Create evaluation sets, automated evaluations, logging, tracing, dashboards, alerts, and audit trails for AI decisions.
Set shared AI engineering patterns and tooling, review system designs, and help engineers use coding agents and AI tools effectively.
Requirements
7+ years of professional software engineering experience, including at least 2 years building and operating AI-powered systems in production.
Experience owning large systems or workflows from scoping and design through launch and iteration with limited direction.
Hands-on experience shipping LLM applications using APIs such as Anthropic or OpenAI, including structured outputs, error handling, and evaluation.
Experience designing agentic or multi-step AI workflows with tool use, orchestration, and human review steps.
Strong proficiency in Python and backend fundamentals including REST APIs, relational databases, asynchronous patterns, and AWS, GCP, or Azure.
Professional fluency in written and spoken English is required.
Culture & Benefits
Work remotely from the United States.
Own complete workflows and make decisions across design, delivery, measurement, and continuous improvement.
Collaborate closely with Product, Backend Engineering, and customers.
Work on complex AI problems in a regulated financial product environment.
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