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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зона ответственности Tech Lead описана ясно и включает запуск AI-функций в продукте, но охват всего цикла разработки предполагает значительную нагрузку и широкую ответственность.
?Широкая зона ответственности
Разработка AI-продукта
Современный стек
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Tech Lead (AI): Designing and delivering production-ready AI-powered product features, APIs, backend services, and model integrations with an accent on scalable architecture, observability, and responsible AI practices. Focus on leading cross-functional AI pods, operationalizing models, building experimentation and monitoring systems, and balancing rapid prototyping with production quality.
Location: Remote for contractors located in Latin America
Salary: $3,500–$4,500 USD per month
Company
hirify.global develops AI-driven product solutions that translate data science capabilities into measurable business value.
What you will do
Lead the technical design and implementation of AI-powered product features from concept through production.
Own end-to-end architecture covering data flows, model integration, APIs, backend services, and application integration.
Lead a cross-functional AI Pod, break product requirements into technical workstreams, and guide prototypes, proofs of concept, MVPs, and rapid iteration.
Partner with Product Management and Data Science to define problems, success metrics, delivery plans, and product integrations.
Ensure production quality through monitoring, logging, performance tracking, security, scalability, reliability, latency, cost controls, and failure-mode management.
Define AI engineering standards, promote reusable components and patterns, mentor engineers, and support responsible AI, experimentation, and post-launch learning.
Requirements
BS or MS in Computer Science, Engineering, or a related technical field.
5+ years of software engineering experience, including leadership of complex systems.
Strong experience designing and building production APIs and backend services.
Proficiency in Python and at least one backend language such as Java, Node, or Go.
Experience with cloud-native architectures using AWS, GCP, or Azure.
Solid understanding of data pipelines, model serving, and system observability.
Ability to collaborate closely with product teams in fast-moving, iterative environments.
Comfort working in an English-speaking professional environment.
Nice to have
Experience in AI-first or data-driven product teams.
Familiarity with modern LLM platforms, prompt engineering, and agent frameworks.
Experience operationalizing ML models through serving, monitoring, and versioning.
Exposure to experimentation platforms, feature flags, and A/B testing.
Experience in Agile or product-led development environments.
Culture & Benefits
Remote contractor opportunity for professionals located in Latin America.
Hands-on technical leadership focused on speed, pragmatism, and production quality.
Work spans product discovery, experimentation, scalable engineering, and responsible AI practices.
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