AI Engineer: Agentic RAG & Tool Orchestration

Valiant Technologies LLC; Charlotte (NC); On-site; USD 110,000 - 150,000; Full time

Job summary

VALIANT TECHNOLOGIES LLC in the United States seeks an experienced AI Engineer to design and deploy intelligent agents that can reason, act, and interact with data sources. You will prototype with Cursor AI, integrate APIs, and build scalable services.

The role focuses on RAG pipelines, embedding models, prompt engineering, and multi-agent collaboration. You will work with product teams to deliver AI-enabled features and ensure robust developer experience.

Qualifications

• Proficient in Python (Go/Node.js a plus) with strong dev mindset.
• Experience building autonomous agents and agentic workflows.
• Hands-on with Cursor AI for development and debugging.
• Experience building and consuming RESTful APIs.
• Proficiency in RAG architectures with vector stores and embeddings.
• Experience with prompt engineering and multi-agent collaboration.
• Strong understanding of LLMs and tuning strategies.

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 tools.
• Leverage Cursor AI 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.

Skills

Python

Autonomous agents

Cursor AI

RESTful APIs

RAG architectures

Prompt engineering

LLMs

Tools

LangChain

AutoGen

Job description

VALIANT TECHNOLOGIES LLC in the United States seeks an experienced AI Engineer to design and deploy intelligent agents that can reason, act, and interact with data sources. You will prototype with Cursor AI, integrate APIs, and build scalable services.

The role focuses on RAG pipelines, embedding models, prompt engineering, and multi-agent collaboration. You will work with product teams to deliver AI-enabled features and ensure robust developer experience.