AI Agent Developer

Key Responsibilities:

• Research, design, develop, and manage software applications end-to-end
• Build and deploy production-grade autonomous AI agents (not just prototypes)
• Design and implement RAG architectures backed by vector databases
• Develop and optimize multi-agent workflows and agentic systems
• Integrate large language models via API — OpenAI, Hugging Face, Azure AI
• Implement Model Context Protocol (MCP) to enable secure, governed data access for agents
• Own AI governance, model lifecycle management, and ongoing evaluation of deployed agents
• Apply AI safety controls: guardrails, content filtering, and risk mitigation
• Collaborate cross-functionally with developers, UX designers, and business/systems analysts
• Continuously optimize LLM performance, inference cost, and token usage

Requirements

Must-Have

• 4+ years in AI/ML engineering or advanced data science
• Demonstrated experience shipping autonomous AI agents into production, not just building demos
• Strong grounding in context engineering
• Hands-on experience with agent frameworks: LangChain, LangGraph, CrewAI, AutoGPT
• Experience building RAG systems on vector databases
• Strong Python skills plus fluency with AI/ML libraries (OpenAI, Hugging Face, Azure AI)
• Experience wiring LLMs into applications via API