Key Responsibilities
- Build AI-driven workflows involving reasoning, tool usage, and multi-step execution for automation and task handling
- Develop agent orchestration systems and communication pipelines for multi-agent workflows
- Integrate AI agents with CRMs, APIs, databases, and business tools via webhook systems and automation triggers
- Support RAG pipelines, embeddings, and retrieval workflows using vector databases and document ingestion systems
- Work with orchestration frameworks like LangGraph, LangChain, and N8N to build scalable AI workflow systems
- Debug and improve AI response quality, execution reliability, and workflow retries
Requirements
- Strong programming fundamentals with Python experience
- Understanding of APIs, workflows, and backend concepts
- Interest in AI agents, automation, and orchestration systems
- Ability to learn quickly and work independently in a fast-paced environment
- Familiarity with FastAPI, Docker, or backend systems is a plus