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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чёткие задачи для junior-специалиста, наставничество и практическая работа с агентным ИИ делают вакансию привлекательной для старта, но без зарплаты и деталей B2B/UZ-контракта сложно оценить доход и условия занятости.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Junior Software AI Engineer (AI/Python): Building AI agents, LLM-based solutions, custom tools, integrations, and automations for real client projects with an accent on agentic workflows, AI evaluation, and experimentation with modern frameworks. Focus on testing agent quality, developing Python-based LLM integrations, and learning cloud, CI/CD, and collaborative engineering practices.
Location: Remote
Company
hirify.global builds large-scale Big Data and cloud-native platforms for global clients, including retail organizations and Fortune 500 companies, using AI, ML, MLOps, and modern data architectures.
What you will do
Support the design and development of AI agents and agentic workflows.
Develop custom tools, integrations, and automations for LLM-based solutions, primarily in Python.
Experiment with AI technologies, frameworks, and approaches, and share findings with the team.
Test and evaluate the quality of AI agents and their outputs.
Write clean, documented code, participate in code reviews, and learn Git workflows, CI/CD, and cloud environments.
Work with senior engineers through mentoring and hands-on project work.
Requirements
Completed or in-progress degree in Computer Science, IT, or a related field.
Knowledge of Python, Java, or SQL; Python is preferred.
Strong interest in AI technologies, especially AI agents, agentic AI, and LLMs.
At least one personal, academic, or open-source project related to AI agents, agentic AI, or LLMs, described in the CV.
Basic understanding of programming fundamentals, data structures, and algorithms.
Eagerness to learn, curiosity, and a proactive approach to problem-solving.
Good English communication skills for collaboration in international teams.
Nice to have
Experience with LLM APIs such as OpenAI, Anthropic, or Azure OpenAI, or agent frameworks such as LangChain, LangGraph, or Semantic Kernel.
Familiarity with prompt engineering, tool calling, or RAG.
Experience with AI coding assistants such as GitHub Copilot.
Familiarity with Git and basic cloud concepts, including Azure, AWS, or GCP.
A public GitHub profile showcasing projects.
Culture & Benefits
Long-term collaboration through UZ/B2B contracts.
Remote-first work with flexible hours.
Access to e-learning platforms and a development budget.
Ownership opportunities, scope expansion, and internal career growth.
Supportive, collaborative, and open culture with a flat structure.
Company and team integration trips and integration budgets.
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