AI Agent Developer for Intelligent Automation

We are looking for an experienced AI Agent Developer to build intelligent, production-ready AI agents and automation workflows. You will design agent architectures, integrate LLMs and external APIs, and develop reliable systems that can reason, use tools, and complete multi-step tasks.

Responsibilities

- Design and develop AI agents using LLMs such as OpenAI, Claude, or Gemini
- Build multi-step agent workflows, tool calling, and autonomous task execution
- Integrate AI agents with REST APIs, databases, SaaS platforms, and internal systems
- Develop RAG pipelines using vector databases and knowledge bases
- Implement memory, context management, structured outputs, and function/tool calling
- Build agent evaluation, monitoring, logging, and error-handling systems
- Optimize prompts, workflows, latency, reliability, and API costs
- Deploy and maintain AI applications in production

Requirements

- Strong Python or TypeScript/Node.js experience
- Hands-on experience building AI agents and LLM-powered applications
- Experience with OpenAI, Anthropic, Gemini, or similar LLM APIs
- Experience with RAG, embeddings, vector databases, and prompt engineering
- Experience integrating third-party APIs and external tools
- Understanding of agent orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar
- Strong debugging and problem-solving skills
- Experience with Git and cloud deployment

Nice to Have

- Experience with MCP and tool-based AI systems
- Experience with voice AI or multimodal agents
- Experience with Docker and AWS/GCP/Azure
- Experience building production-grade AI automation platforms
- Experience with agent evaluation and observability

What You'll Build

You will help transform business processes into AI-powered agents that can understand requests, make decisions, use tools, access knowledge, and execute tasks automatically.