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обновлено 22 дня назад
AI Engineer (Middle/Senior)
1 300 000 - 1 900 000KZT
Вакансия из Telegram канала - Мэтч & Сопровод
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Описание вакансии
TL;DR
AI Engineer (Middle/Senior) (Python/LangGraph/RAG): Building a corporate AI-agent platform with RAG assistants for internal documents and business processes with an accent on LangGraph workflows, vector search, and streaming LLM applications. Focus on developing production AI agents, integrating backend services and tools, and assessing relevance and quality in deployed systems.
AI Engineer (Middle/Senior)
Kazakhtelecom JSC
1,300,000 to 1,900,000 KZT NET per month
Astana / Office
Kazakhtelecom JSC is a leading telecommunications company in Kazakhstan, developing a corporate AI-agent platform with RAG assistants for internal documents and business processes.
Responsibilities:
• Build AI agents from concept to production, including LangGraph workflows, RAG systems, prompts, tool/function calling, external integrations, and streaming LLM applications.
• Develop backend services with FastAPI/async, PostgreSQL/SQLAlchemy, Celery/Kafka, and write tests; assess quality and resolve production issues.
Requirements:
• Strong Python development and practical LangGraph experience.
• Experience building LLM applications and RAG systems with embeddings, vector search, relevance assessment, Qdrant, and hybrid/dense/sparse search.
• Git, REST, asynchronous backend development, and independent task completion.
• Familiarity with LiteLLM/vLLM and local models such as Qwen or Gemma.
Kazakhtelecom JSC
1,300,000 to 1,900,000 KZT NET per month
Astana / Office
Kazakhtelecom JSC is a leading telecommunications company in Kazakhstan, developing a corporate AI-agent platform with RAG assistants for internal documents and business processes.
Responsibilities:
• Build AI agents from concept to production, including LangGraph workflows, RAG systems, prompts, tool/function calling, external integrations, and streaming LLM applications.
• Develop backend services with FastAPI/async, PostgreSQL/SQLAlchemy, Celery/Kafka, and write tests; assess quality and resolve production issues.
Requirements:
• Strong Python development and practical LangGraph experience.
• Experience building LLM applications and RAG systems with embeddings, vector search, relevance assessment, Qdrant, and hybrid/dense/sparse search.
• Git, REST, asynchronous backend development, and independent task completion.
• Familiarity with LiteLLM/vLLM and local models such as Qwen or Gemma.
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