AI Engineer

BridgeNexus Technologies Inc
Austin, TX, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$83,200.0 - $124,800.0
Working hours
Regular working hours
Job source

Tech stack

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
+1 more
Restful APIs

Job 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

Requirements

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?

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