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описание
B2B employment
We are helping a global leader in professional services build a next-generation AI-native platform to automate business processes. This is a greenfield project using cutting-edge technologies: GraphRAG, knowledge graphs, MCP servers, and LLM orchestration.
задачи
Key Responsibilities;
Design and implement graph data models, relationship mapping, and graph traversal logic using Azure Cosmos DB (Gremlin API) and Neo4j. Optimize graph queries for performance at scale;
Build GraphRAG solutions combining knowledge graphs, vector search, metadata, and LLM-based retrieval. Develop agentic AI systems with LangChain and LangGraph. Implement and host MCP (Model Context Protocol) servers and clients. Manage agent memory and spec-driven AI workflows. Integrate vector databases and semantic search platforms;
Develop scalable data pipelines and APIs in Python. Build high-performance backend services with FastAPI. Design event-driven architectures using Celery, RabbitMQ, and Kafka. Ensure code quality through testing, code reviews, and performance optimization;
Contribute to full-stack development with React and Next.js when needed. Work with Docker, Kubernetes, and CI/CD pipelines. Support cloud-native environments and infrastructure automation.
требования
Must-Have;
5+ years of commercial Python development experience;
Experience with graph databases (Neo4j, Azure Cosmos DB Gremlin API);
Experience with AI and LLM systems (LangChain, LangGraph, RAG);
Experience with MCP (Model Context Protocol) - servers and clients;
Experience with backend development: FastAPI, Celery, PostgreSQL, Redis;
Experience with message queues (RabbitMQ, Kafka);
English: B2+ (Upper-Intermediate);
Nice-to-Have;
Experience with GraphRAG;
Experience with Databricks or Delta Lake;
Experience with Azure (Cosmos DB, AI Search);
Experience with React or Next.js;
Experience with Docker, Kubernetes, CI/CD;
Experience in consulting or working with Fortune 500 clients.