Raya Faraz is looking for an AI Engineer to build and deploy AI-powered products using LLMs, AI agents, RAG, and automation systems.

Strong hands-on experience with Claude Code and Cursor is a key requirement for this role.

Responsibilities
Build LLM-powered applications and AI agents
Develop RAG pipelines and knowledge-based systems
Integrate AI models with APIs, databases, CRM, and ERP systems
Design agent workflows, tool-calling, and automation processes
Evaluate and improve AI system quality, speed, reliability, and cost
Work closely with Product and Engineering teams
Take AI features from prototype to production

Required Skills
Strong experience with Claude Code and Cursor
Strong Python skills
Experience with LLM APIs
Experience with RAG, embeddings, and vector databases
Understanding of AI Agents and multi-step workflows
Experience with LangChain, LangGraph, LlamaIndex, or similar tools
Experience with REST APIs and databases
Strong problem-solving and product mindset

Nice to Have
FastAPI
MCP and AI tool integrations
Open-source LLMs
CRM / ERP integrations
Docker, Linux, and cloud platforms

At Raya Faraz, you will work on real-world AI products in business automation, intelligent assistants, CRM, data platforms, and enterprise software.

Minimum experience
At least 2 years of relevant experience.