AI Engineer - Agentic Systems & RAG

Austin, TX, US • Posted 30+ days ago • Updated 6 days ago

Contract W2

On-site

$DOE

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Job Details

Skills

workflows
Node.js
RESTful APIs
Artificial Intelligence
systems integration
Prompt Engineering
Large Language Models
Computer Programming
Creating Prototypes
Multi-Agent Systems
Python (Programming Language)
Application Programming Interfaces (APIs)
Software Debugging
Decision Making Skills
Tooling Assembly and Dismantling
Cursor (Graphical User Interface Elements)
Intelligent Systems

Summary

Job Title: AI Engineer Agentic Systems & RAG

Location : Austin/Charlotte/NYC

Experience: 3 7 years

Industry: Technology / AI / Digital Platforms

Job Summary:

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10120137
Position Id: 2026-66691
Posted 30+ days ago

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