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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль четко сочетает практическую разработку AI-решений и работу с клиентами, включая интеграции с корпоративными системами и современными AI-инструментами; в консалтинге проекты и нагрузка могут меняться от клиента к клиенту.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Forward Deployed AI Engineer (AI): Building and deploying production-ready AI, data, cloud, and enterprise integration solutions for client environments with an accent on APIs, cloud services, production software, and AI-enabled workflows. Focus on translating ambiguous technical requirements into implementation plans, solving complex integration challenges, and driving reliable deployment and client adoption.
Location: Remote from any city in Colombia; 100% remote
Company
hirify.global is an international group of 3,000 experts across 30 countries that designs and operationalizes data, cloud, and AI solutions for enterprise transformation.
What you will do
Lead technical discovery with clients, analyzing systems, data, workflows, security requirements, and technical challenges.
Translate business needs and approved architectures into technical implementation plans, priorities, and deployment activities.
Develop and integrate production-ready solutions using APIs, enterprise applications, cloud services, data platforms, and AI technologies.
Coordinate implementation with AI Engineers, Software Engineers, Data Engineers, and Architects while resolving integration challenges.
Own technical deployment and rollout, ensuring reliability in client environments and supporting adoption and user enablement.
Track delivery progress, production performance, costs, and measurable outcomes while documenting reusable engineering practices.
Requirements
Strong hands-on experience developing, integrating, and deploying production software, AI, data, or cloud solutions.
Experience writing, debugging, and maintaining production-quality code.
Experience integrating enterprise applications, APIs, data sources, authentication systems, and cloud services.
Ability to translate technical requirements into implementation plans and production deployments.
Experience working directly with clients or business stakeholders while retaining technical ownership.
Strong communication skills, including explaining technical decisions, risks, and implementation challenges to technical and non-technical audiences.
Strong programming skills in at least one relevant language, such as Python, TypeScript/JavaScript, Java, or C#/.NET.
Experience with REST APIs, webhooks, enterprise integrations, backend services, and at least one major cloud ecosystem such as AWS, Azure, or GCP.
Understanding of Git, testing, CI/CD, containers, production monitoring, application security, authentication, identity management, and production deployment practices.
Familiarity with AI/GenAI technologies, including LLM APIs, RAG, AI agents, and AI-enabled workflows; fluency in English is required.
Nice to have
Advanced experience building GenAI applications, RAG systems, or agentic workflows.
Experience with LangGraph, MCP, OpenAI, Anthropic, or comparable technologies.
Background in backend, full-stack, data, or cloud/platform engineering.
Experience designing solutions for complex enterprise or regulated environments.
Consulting or professional services experience with multiple clients.
Experience in Forward Deployed Engineering, Customer Engineering, or other client-embedded technical roles.
Culture & Benefits
Full-time, indefinite-term employment with a 100% remote work model in Colombia.
International and multicultural projects with leading technologies across Data, Cloud, and AI ecosystems.
Training programs, continuous professional development, professional growth, and internal mobility opportunities.
Collaborative culture focused on innovation, continuous learning, diversity, and high-quality project delivery.
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