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# AI Engineer

- **Company:** BridgeNexus Technologies Inc
- **Location:** Austin, TX, United States
- **Salary:** $83,200.0 - $124,800.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, Computer Programming, Cursor (Graphical User Interface Elements), Software Debugging, Python (Programming Language), Node.Js, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Restful APIs
- **Published:** June 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c4f23266b7751c67

## About the Role

Do you have experience in Prompt engineering?, 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., * 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, * As per direct client requirement-this role only to US citizen and GC holders and "Are you a U.S. Citizen or Green Card holder, and able to work on a W2 hourly basis at the stated pay rate?

## Description

* 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


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