Key responsibilities
- Implement API layer and orchestration logic (Python or Node.js) to receive chat requests and coordinate helper components.
- Use Neo4j driver to generate, validate, and execute graph queries (Cypher), including query safety/guardrails.
- Integrate and orchestrate LLMs (prompting, RAG retrieval, few-shot patterns) and any helper agents (retrievers, summarizers).
- Design and manage AI agent workflows - coordinating multiple specialized agents
- Implement security, input sanitization, rate limiting, audit logging and observability for queries and LLM outputs.
- Build retries, fallbacks, and monitoring pipelines; collaborate with frontend on realtime status and result formatting.
Must-have skills
- Python or Node.js production experience
- Neo4j driver and Cypher query experience
- Experience orchestrating LLMs / tool-using agents (prompt engineering, retrieval pipelines)
- Hands-on experience with AI agent workflow frameworks (e.g., LangChain, AutoGen, Semantic Kernel, CrewAI)
- Security/guardrail patterns, logging and monitoring (structured logs, traces, metrics)
Nice-to-have
- Experience with GCP - GBQ or similar data platforms, Docker/Kubernetes, async task queues, vector DBs for retrieval, CI/CD and infra-as-code.
External Skills And Expertise
Key responsibilities
- Implement API layer and orchestration logic (Python or Node.js) to receive chat requests and coordinate helper components.
- Use Neo4j driver to generate, validate, and execute graph queries (Cypher), including query safety/guardrails.
- Integrate and orchestrate LLMs (prompting, RAG retrieval, few-shot patterns) and any helper agents (retrievers, summarizers).
- Design and manage AI agent workflows - coordinating multiple specialized agents
- Implement security, input sanitization, rate limiting, audit logging and observability for queries and LLM outputs.
- Build retries, fallbacks, and monitoring pipelines; collaborate with frontend on realtime status and result formatting.
Must-have skills
- Python or Node.js production experience
- Neo4j driver and Cypher query experience
- Experience orchestrating LLMs / tool-using agents (prompt engineering, retrieval pipelines)
- Hands-on experience with AI agent workflow frameworks (e.g., LangChain, AutoGen, Semantic Kernel, CrewAI)
- Security/guardrail patterns, logging and monitoring (structured logs, traces, metrics)
Nice-to-have
- Experience with GCP - GBQ or similar data platforms, Docker/Kubernetes, async task queues, vector DBs for retrieval, CI/CD and infra-as-code.
