Lead AI Engineer: Build Agentic AI Workflows & RAG Apps

PowerSchool; Texas; Hybrid; USD 93,000 - 170,000; Full time

Benefits offered by this job

Comprehensive Insurance Coverage

Flexible Spending Accounts

Wellness Program

Tuition Reimbursement

Discretionary Time Off

Pet Insurance

Identity Theft Protection

Student Debt Repayment Program

Prepaid Legal coverage

Job summary

PowerSchool is seeking a Lead AI Engineer to design, build, and deploy production-grade AI solutions across the enterprise. You will own end-to-end AI workflows from concept through delivery, bringing hands-on coding and strong technical leadership to scale AI capabilities.

You will mentor a small team, partner with stakeholders, and deliver weekly or bi-weekly releases while maintaining governance and robust testing pipelines.

Qualifications

• Bachelor’s degree in a technical field and 6–10+ years of software engineering with hands-on AI/LLM work.
• Experience building and deploying LLM-powered applications and agentic workflows.
• Cloud deployment experience (AWS, Azure).
• Hands-on experience with LangChain, LangGraph, LlamaIndex or equivalents.

Responsibilities

• Design and deploy agentic AI workflows and products for customers.
• Build production-grade systems including multi-agent workflows and RAG-based applications.
• Develop and implement prompt engineering strategies, orchestration logic, APIs and data pipelines.
• Lead end-to-end delivery with rapid iteration and stakeholder collaboration.
• Provide technical guidance and mentorship to a small AI engineering team.

Skills

AI/LLM systems

Software engineering

Cloud deployment

Leadership

Education

Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field

Tools

LangChain

LangGraph

LlamaIndex

Copilot

Codex

Gemini

Job description

PowerSchool is seeking a Lead AI Engineer to design, build, and deploy production-grade AI solutions across the enterprise. You will own end-to-end AI workflows from concept through delivery, bringing hands-on coding and strong technical leadership to scale AI capabilities.

You will mentor a small team, partner with stakeholders, and deliver weekly or bi-weekly releases while maintaining governance and robust testing pipelines.