Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Здесь можно работать с LLM-системами в продакшене и современными инструментами, но клиентский формат и неясный уровень ответственности за проекты оставляют вопросы о долгосрочном развитии роли.
?Работа на клиентов
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Engineer (LLM/Agentic Workflows): Building and deploying LLM-powered features and agentic workflows with structured outputs, tool calling, and integrations with APIs and data sources with an accent on model evaluation, reliability, and cloud operations. Focus on designing automated evaluation datasets, handling tool and model failures, reviewing coding-agent output, and maintaining production AI services on AWS or Azure.
Location: Vietnam (HCMC, Ha Noi, Da Nang). Opportunities for short- and long-term onsite assignments in Singapore.
Company
hirify.global is a Singapore-headquartered software development company building web, mobile, and enterprise applications for clients.
What you will do
Build and ship AI-powered features and agentic workflows using structured outputs, tool calling, existing APIs, and data sources.
Prototype and compare models, prompts, and workflows based on accuracy, latency, and cost, and document implementation decisions.
Create evaluation datasets and automated checks for model outputs and agent behavior, handling invalid outputs, tool failures, and human-review cases.
Deploy and maintain AI services on AWS or Azure, contributing to CI/CD, monitoring, and production troubleshooting.
Use coding agents to explore codebases, implement changes, write tests, and review generated code for correctness, security, and maintainability.
Collaborate with product and engineering teams to clarify requirements and improve features using user feedback and production data.
Requirements
Hands-on software engineering experience in Python, TypeScript, C#, or another backend language, including API development and external-service integration.
Experience building at least one LLM-powered application or agentic workflow, with the ability to explain implementation, testing, and failure handling.
Familiarity with LLM APIs, structured outputs, tool calling, and evaluation techniques.
Experience deploying or supporting applications on AWS or Azure, with familiarity with Git, CI/CD, and application monitoring.
Practical experience using Codex, Claude Code, or a comparable coding agent, including scoping tasks, reviewing changes, and verifying outcomes.
Ability to communicate technical decisions and work effectively with engineering and product teams in English.
Nice to have
Experience with Amazon Bedrock, Azure AI Foundry, or model APIs from Anthropic or xAI.
Experience with retrieval-augmented generation, vector search, Model Context Protocol, or multi-step agent orchestration.
Experience monitoring production AI features for task success, tool failures, latency, and cost.
Culture & Benefits
Competitive compensation and performance-based incentives.
Flexible working hours subject to project requirements.
Direct collaboration with international clients and product, design, and engineering teams across regions.
Short- and long-term onsite assignment opportunities in Singapore.
Team-building activities and an annual company trip.
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