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
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