from 250,000 to 270,000 ₽ per month
Work format: remote possible
☑️ Responsibilities
- Development of AI agents and sub-agents using tool-calling
- Building multi-agent systems and managing call chains
- Creating automations and workflows in n8n, Flowise, Dify, Langflow, or similar platforms
- Developing business logic and custom functions in JavaScript, TypeScript, and Python
- Building RAG pipelines: data preparation, embeddings, search, and working with vector databases
- Integration with internal services and data showcases via REST API and OAuth2
- Parsing, collecting, normalizing, and transforming data from external sources
- Designing prompts for summarization and generation of structured reports
- Deployment and operation of open-source and on-prem LLMs in a closed corporate environment
- Working with structured data, PostgreSQL, and JSON
- Participation in the analysis and formalization of business requirements
☑️ Candidate Requirements
- Commercial GenAI solution development experience at Senior level
- Proficient in JavaScript, TypeScript, and Python
- Practical experience in creating AI agents and multi-agent systems
- Experience with at least one of the stacks:
- LangChain / LangGraph
- LlamaIndex
- Semantic Kernel
- CrewAI / AutoGen
- n8n / Flowise / Dify / Langflow
- Experience developing RAG solutions and working with vector stores: PGVector, Qdrant, Milvus, or equivalents
- Proficient in PostgreSQL, JSON, REST API, and OAuth2
- Experience with LLMs and prompt engineering
- Experience deploying local models in a closed environment
- Readiness to lead development and operation of solutions on Windows OS
- Understanding of sensitive and corporate data protection principles
- Will be a plus:
- Experience with MCP — Model Context Protocol
- Development of custom nodes and sub-workflows in n8n
- React
- GraphQL
- FastAPI
- Experience with web search, parsing, and external APIs
- Experience participating in corporate or industrial projects
Contacts: recruiter contact
