AI engineer

RichBrains

United States

À distance

USD 110 000 - 150 000

Plein temps

Il y a 2 jours
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Avantages offerts par ce poste

Remote work
Training & certifications
Team events
Performance reviews
Corporate discounts

Résumé du poste

RichBrains ищет опытного Middle AI/Agent Engineer для полного владения инициативами в области ИИ и реализации продакшн-решений, включая агентов, RAG-пайплайны и системы инструкций. Работа удалённая, гибкий график и возможность сертификаций.

Требуется практический опыт с LLM, конфигурация AI-агентов и навыки интеграций через API. Рассматриваются кандидаты, ориентированные на устойчивость решений и экономию затрат.

Qualifications

  • Практический опыт работы с LLM и prompt-инженерией.
  • Опыт построения и конфигурации AI-агентов (планирование, использование инструментов, память).
  • Знание API LLMs: OpenAI, Anthropic, Google и подобные.
  • Умение писать код для автоматизации и интеграций.

Responsabilités

  • Разрабатывать, тестировать и улучшать подсистемы инструкций и промптов для надёжности.
  • Строить AI-агентов: использование инструментов, память, многошаговые рабочие процессы.
  • Реализовывать RAG-пайплайны и интегрировать LLM с внешними источниками данных и API.
  • Писать интеграционный и автоматизационный код (Python, Node.js и др.).
  • Оценивать качество вывода, точность, безопасность и стоимость.
  • Сравнивать модели (OpenAI, Anthropic, Gemini и т.д.) и подбирать подходящую для задачи.
  • Мониторить решения в продакшене, ловить сбои и улучшать производительность.
  • Держать руку на пульсе экосистемы LLM и внедрять новые подходы.

Connaissances

LLMs prompt engineering
AI agents
LLM APIs
scripting (Python/Node.js)
English B2+
RAG and vector databases
multi-agent orchestration (LangChain/L

Outils

LangChain
LangGraph
OpenAI API
Anthropic API
Google AI API

Description du poste

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

Задачи
  • 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.
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). Будет плюсом: 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
Условия
  • This is a remote position.
  • 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.
  • Collaborating with a highly motivated and professional team, which values your ideas and expertise
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