AI Engineer
Location: Austin, TX or Charlotte, NC (hybrid)
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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