AI Engineer - Agentic Systems & RAG

Job Description:

We are seeking a highly skilled  AI Engineer with hands-on experience in  agent development, Retrieval-Augmented Generation (RAG), agentic workflows , and platforms such as  Cursor AI . The ideal candidate will have a strong developer mindset and expertise in integrating APIs and building intelligent systems that can reason, act, and interact across tools and data sources.

Key Responsibilities:

• Design, develop, and optimize  AI agents capable of reasoning, decision-making, and tool usage
• Implement and fine-tune  RAG pipelines for contextual knowledge integration
• Develop, integrate, and manage  agentic workflows across APIs, vector stores, and third-party tools
• Leverage  Cursor AI and similar platforms to prototype and deploy agent-based applications
• Collaborate with product teams to implement AI-driven features with seamless developer experience
• Build scalable APIs for model access, integration, and service orchestration
• Stay updated with the latest in LLMs, agent orchestration frameworks, and AI tooling

Required Skills & Qualifications:

• Strong programming skills in  Python or equivalent (Go/Node.js is a plus)
• Experience in developing autonomous agents and agentic workflows using frameworks like LangChain, AutoGen, or similar
• Hands-on with  Cursor AI for development, debugging, and agent orchestration
• Experience building and consuming  RESTful APIs
• Proficiency in  RAG architectures , including vector stores (e.g., FAISS, Pinecone, Weaviate), embedding models, and retrieval tuning
• Experience with prompt engineering, tool calling, and multi-agent collaboration setups
• Solid understanding of LLMs, their fine-tuning strategies, and evaluation frameworks