Description
We’re looking for an experienced AI Agent Engineer to build a production-ready AI automation platform for our SaaS product. The ideal candidate has hands-on experience designing AI agents that go beyond simple chatbots and can automate complex business workflows. You should be comfortable building scalable backend services, integrating multiple LLMs, and deploying reliable AI systems into production. Responsibilities - Design and develop AI agents using OpenAI, Claude, or Gemini. - Build multi-agent workflows with LangGraph or LangChain. - Implement Retrieval-Augmented Generation (RAG) pipelines. - Integrate AI with Slack, HubSpot, Salesforce, Notion, Microsoft 365, and REST APIs. - Develop backend APIs using Python (FastAPI) or Node.js. - Deploy solutions using Docker and cloud platforms such as AWS, Azure, or Google Cloud. - Optimize AI performance, reliability, latency, and operational cost. Required Skills - OpenAI API - Claude API - LangGraph - LangChain - MCP (Model Context Protocol) - Python - FastAPI - PostgreSQL - Redis - Docker - Kubernetes - AWS Nice to Have - CrewAI or AutoGen - Semantic Kernel - n8n, Make, or Zapier - Enterprise AI integrations - Multi-agent orchestration We’re looking for someone who thinks like an engineer, not just an API integrator. Experience shipping production AI systems is much more important than experimental demos. Please include examples of AI agents, workflow automation systems, or enterprise AI applications you’ve built.