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