Applied AI Engineer

Ledgent Technology; Sacramento (CA); On-site; USD 91,000 - 127,000; Full time

Job summary

Ledgent Technology is seeking an Applied AI Engineer to design, build, and deploy AI agents and AI-powered applications that solve real business problems. This role will focus on evaluating LLMs, developing agent-based solutions, and partnering with business and technical teams to deliver scalable AI capabilities.

You will design and implement production-ready AI solutions, measure model performance, and help establish governance and lifecycle management.

Qualifications

• Must be local to the Sacramento area.
• W2 employment through Ledgent Technology; no C2C.
• Experience building and deploying AI agents.
• Experience with LLMs, RAG, and prompt engineering.
• Experience with GitHub and Azure DevOps.
• Strong communication across teams.

Responsibilities

• Design and develop AI agents and AI-powered applications.
• Build solutions utilizing LLMs, RAG, tool orchestration, reasoning chains, and workflow automation.
• Evaluate AI models for accuracy, cost, performance, and scalability.
• Create frameworks to measure and monitor AI agent effectiveness in production.
• Partner with data engineering and business teams to deliver practical AI solutions.
• Help establish AI governance, best practices, and lifecycle management.
• Communicate technical concepts and tradeoffs to non-technical stakeholders.

Skills

AI agent development

LLMs & RAG

Prompt engineering

Cross-functional collaboration

Tools

GitHub

Azure DevOps

Power BI

Tableau

Job description

Salary: USD66 - USD92 per hour

Please Read Before Applying

• Must be local to the Sacramento area
• Must be able to work onsite in Sacramento
• Must work on a W2 basis through Ledgent Technology
• No C2C, third-party firms, or sub-vendors

Ledgent Technology is seeking an Applied AI Engineer to design, build, and deploy AI agents and AI-powered applications that solve real business problems. This role will focus on evaluating LLMs, developing agent-based solutions, and partnering with business and technical teams to deliver scalable AI capabilities.

What You'll Do

• Design and develop AI agents and AI-powered applications
• Build solutions utilizing LLMs, RAG, tool orchestration, reasoning chains, and workflow automation
• Evaluate AI models based on accuracy, cost, performance, and scalability
• Create frameworks to measure and monitor AI agent effectiveness in production
• Partner with data engineering and business teams to deliver practical AI solutions
• Help establish AI governance, best practices, and lifecycle management
• Communicate technical concepts and tradeoffs to non-technical stakeholders

What We're Looking For

• Experience building and deploying AI agents or AI-powered applications
• Hands-on experience with LLMs, RAG, agent frameworks, and prompt engineering
• Understanding of machine learning, statistics, model evaluation, and data quality
• Experience with GitHub, Azure DevOps, testing, and production support practices
• Strong communication skills and ability to work across technical and business teams

Preferred

• MLOps or AIOps experience
• Experience with Power BI or Tableau
• Experience with AI-assisted development tools such as Claude Code or GitHub Copilot

This is an excellent opportunity to help shape and expand enterprise AI capabilities while working on innovative, real-world business solutions.