Middle AI / Agent Engineer

Ориентир по рынку≈ 329 000 – 1 080 000 ₽наша приблизительная оценка по 48 вакансиям этой роли и грейда, у работодателя вилка не указана

🌍 УдалённоMiddleПолная занятость

≈ 329 000 – 1 080 000 ₽наша приблизительная оценка

Стоит ли откликаться

Стоит откликнуться, но спросите про деньги

Сумму в объявлении не указали. Сколько платят за похожую работу, видно в разборе. Вакансия живая, задачи расписаны.

3 из 4 в норме

Зарплата не указана: ваша цель, нижняя граница и фраза для первого созвона

Вакансия на английскомПереведёт заголовок и описание вакансии на русский

Наша компания

This is a remote position. We're looking for a proactive Middle AI / Agent Engineer to take full ownership of AI initiatives and build and implement advanced solutions that support real business workflows. Someone who treats LLMs as engineering components, not a chat interface. You'll take an idea and turn it into something that runs in production: agents, RAG pipelines, prompt systems, integrations that solve real business problems.

О роли

No model training. Just solid, reproducible AI solutions built by a practitioner who thinks systematically and knows how to get consistent output from LLMs.

Чем предстоит заниматься

Write, test, validate, and iteratively improve prompts and system instructions until results are stable and reproducible

Build and configure AI agents – tool-use, memory, multi-step workflows

Implement RAG pipelines and connect LLMs to external data sources and APIs

Write integration and automation code (Python, Node.js, or any scripting language)

Evaluate AI output quality in a structured way – accuracy, reliability, security and cost

Compare models (OpenAI, Anthropic, Gemini etc) and recommend the right one for the task

Monitor solutions in production, catch failures, and improve performance

Stay current with LLM ecosystem - new models, tools, and frameworks – and apply relevant findings to your work

Наши требования

Hands-on experience with LLMs and prompt engineering – systematic work, not occasional ChatGPT usage

Experience building and configuring AI agents (planning, tool-use, memory)

Working knowledge of LLM APIs – OpenAI, Anthropic, Google, or similar

Ability to write code in at least one scripting language for automation and integration tasks

Understanding basic AI evaluation techniques

Strong analytical and problem-solving mindset with attention to detail – able to explain why a solution was chosen

English B2+ (written and spoken)

Experience with RAG, vector databases and other retrieval/ranking techniques

Multi-agent orchestration – LangChain, LangGraph or similar

No-code / low-code automation experience

Experience with STT / TTS integrations

Understanding of MCP and agent protocols

Cloud AI deployments – Amazon Bedrock or Azure OpenAI

Familiarity with monitoring and observability tools for AI system

Мы предлагаем

Collaborating with a highly motivated and professional team, which values your ideas and expertise

Working hours: 11:00–20:00 GMT+3

Regular performance reviews

Corporate discount programs

Opportunities for training and certifications

Team events and get-togethers to foster team spirit

Технологии и навыки

Зарплата≈ 329 000 – 1 080 000 ₽наша оценка

ГрейдMiddle

ЗанятостьПолная занятость

РегионБеларусь

ФорматУдалённо

ИсточникСкрыто

Опубликовано18 сент.

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