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Роль чётко сосредоточена на разработке GenAI-решений для production и использует востребованные технологии, хотя в консалтинге проекты могут различаться.
Актуальные технологии
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?Клиентские проекты
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Текст:
Hirify AI/Оригинал
TL;DR
AI Engineer (GenAI): Build and productionise AI applications, agents, assistants, and intelligent workflow components for business teams with an accent on Azure AI services, retrieval, orchestration, and enterprise integrations. Focus on designing reliable production AI systems, connecting models with data pipelines and APIs, and developing reusable agentic workflows with evaluation, monitoring, and guardrails.
Location: Remote
Company
hirify.global delivers consulting and software solutions involving AI engineering, cloud platforms, data, and business process automation.
What you will do
Build AI applications, assistants, agents, and workflow automation components using modern GenAI engineering patterns.
Design integrations with Azure AI services, Azure AI Foundry, APIs, enterprise systems, data platforms, and internal tools.
Develop retrieval, tool-use, orchestration, evaluation, monitoring, and guardrail components for production AI solutions.
Connect models, prompts, workflows, and data pipelines with data engineers and data scientists to create reliable end-to-end solutions.
Implement reusable agentic workflows for country teams and improve AI software delivery through engineering standards, templates, developer experience, and production-readiness practices.
Requirements
Strong software engineering skills in Python and SQL.
Experience building GenAI applications, assistants, agents, or AI-enabled workflow automation.
Hands-on experience with Azure AI services, Azure AI Foundry, or comparable AI platforms.
Understanding of RAG, prompt and context engineering, tool calling, evaluation, orchestration, and responsible production operation of AI systems.
Experience with APIs, cloud-native services, data pipelines, and enterprise integration patterns.
Comfort using GenAI software engineering tools such as GitHub Copilot, Cursor, or OpenCode.
Fluent English required.
Nice to have
Experience with Microsoft Agent Framework, LangChain, MCP, or comparable agent frameworks.
Experience with agentic workflow builders, dashboards, or user-facing AI applications.
Experience with Snowflake, vector databases, observability tooling, or LLM gateway patterns.
Culture & Benefits
Fully remote work.
Work at the intersection of software engineering, GenAI, data, cloud, and business process automation.
Build production software designed to be deployed, monitored, improved, and scaled across multiple countries.
Azure is the primary platform context, with open-source and cloud-agnostic frameworks used for flexibility.
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