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AI Engineer with Cursor AI

Exatechinc
AI/ML & Data
Austin, TX
4 months ago
🤖 AI-First🖥️ Cursor-friendly
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Uses Cursor AI for prototyping and agent orchestration, building agentic workflows with AI assistants.

About the Role

Join Exatechinc as an AI Engineer to design and deploy autonomous AI agents and RAG pipelines using Cursor AI. You'll integrate APIs, vector stores, and third-party tools to build agentic workflows, scalable model access, and AI-driven product features in a hybrid Austin role.

Job Description

Role

We are hiring an AI Engineer to design, develop, and deploy autonomous AI agents and Retrieval-Augmented Generation (RAG) pipelines using Cursor AI. The role focuses on building agentic workflows that integrate APIs, vector stores, and external tools to enable reasoning, decision-making, and scalable model access. Location: Hybrid (Austin, TX).

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, debug, and deploy agent-based applications
  • Collaborate with product teams to implement AI-driven features with a seamless developer experience
  • Build scalable APIs for model access, integration, and service orchestration
  • Stay current with LLMs, agent orchestration frameworks, and AI tooling

Requirements

  • Strong programming skills in Python (Go/Node.js is a plus)
  • Experience developing autonomous agents and agentic workflows using frameworks like LangChain or AutoGen
  • Hands-on experience with Cursor AI for development, debugging, and agent orchestration
  • Experience building and consuming RESTful APIs
  • Proficiency in RAG architectures, including working with 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, fine-tuning strategies, and evaluation frameworks

Tech Stack

Cursor AIPythonGoNode.jsLangChainAutoGenRESTful APIsFAISSPineconeWeaviateEmbedding modelsLLMsRetrieval-Augmented Generation (RAG)

Skills

Agent DevelopmentRAG (Retrieval-Augmented Generation)Prompt EngineeringAPI IntegrationSystem IntegrationDebuggingModel EvaluationVector Store ManagementMulti-agent CoordinationCollaborationPrototypingScalable API DesignSoftware Engineering

Experience Level

Senior

Employment Type

Contract

Benefits

  • Hybrid (Austin, TX)