Overview
About AI Agent Developer
Seeking Expert AI Agent Developer | n8n, LangChain, CrewAI, AutoGPT, LangGraph, ReAct, GPT-4We're actively looking for a highly skilled and motivated AI Agent Developer to join our team and help build, optimize, and deploy autonomous LLM-powered agents that can handle multi-step reasoning, task planning, and real-world API integrations.
Our goal is to create cutting-edge AI workflows using the latest tools in LLM orchestration, agentic reasoning, and tool-augmented AI assistants.
💡 Key Technologies & Frameworks (Must-Have Experience in Some):
LangChain Agents & Tools – memory management, tool calling, chains
CrewAI – Multi-agent collaboration, role-based planning & communication
AutoGPT / BabyAGI / MetaGPT – Autonomous task execution frameworks
LangGraph – State machines for long-running agent workflows
ReAct (Reasoning + Acting) – Structured decision-making via LLMs
n8n / Zapier / Make – No-code/low-code automation workflows integrated with LLMs
OpenAI GPT-4 / GPT-4o, Anthropic Claude, Mistral, Gemini 1.5
Vector DBs – (Pinecone, Weaviate, Chroma, FAISS) for Retrieval-Augmented Generation (RAG)
Tool/Action Integration – API calls, browser agents, file I/O, search agents
Function Calling & Tool Use – OpenAI tools, Assistant API, LangChain Expression Language (LCEL)
Python (FastAPI, asyncio, LangChainHub) & basic front-end integration
Memory Architectures – episodic memory, long-term context, token buffering
🧠 Ideal Candidate Has Experience With:
Designing and deploying task-oriented or goal-driven agents
Implementing multi-agent systems with delegation, communication, and coordination
Integrating agents with APIs, webhooks, Google tools, CRMs, and automation platforms like n8n
Building custom agents for research, scheduling, customer support, or content generation
Tuning performance: latency, cost-efficiency, and prompt quality
Hire AI Agent Developer | LangChain, GPT-4, CrewAI, LangGraph, AutoGPT, ReAct, n8n, Vector DB, RAG
Our goal is to create cutting-edge AI workflows using the latest tools in LLM orchestration, agentic reasoning, and tool-augmented AI assistants.
💡 Key Technologies & Frameworks (Must-Have Experience in Some):
LangChain Agents & Tools – memory management, tool calling, chains
CrewAI – Multi-agent collaboration, role-based planning & communication
AutoGPT / BabyAGI / MetaGPT – Autonomous task execution frameworks
LangGraph – State machines for long-running agent workflows
ReAct (Reasoning + Acting) – Structured decision-making via LLMs
n8n / Zapier / Make – No-code/low-code automation workflows integrated with LLMs
OpenAI GPT-4 / GPT-4o, Anthropic Claude, Mistral, Gemini 1.5
Vector DBs – (Pinecone, Weaviate, Chroma, FAISS) for Retrieval-Augmented Generation (RAG)
Tool/Action Integration – API calls, browser agents, file I/O, search agents
Function Calling & Tool Use – OpenAI tools, Assistant API, LangChain Expression Language (LCEL)
Python (FastAPI, asyncio, LangChainHub) & basic front-end integration
Memory Architectures – episodic memory, long-term context, token buffering
🧠 Ideal Candidate Has Experience With:
Designing and deploying task-oriented or goal-driven agents
Implementing multi-agent systems with delegation, communication, and coordination
Integrating agents with APIs, webhooks, Google tools, CRMs, and automation platforms like n8n
Building custom agents for research, scheduling, customer support, or content generation
Tuning performance: latency, cost-efficiency, and prompt quality
Hire AI Agent Developer | LangChain, GPT-4, CrewAI, LangGraph, AutoGPT, ReAct, n8n, Vector DB, RAG