Lead AI Engineer: Production AI & Agentic Workflows

PowerSchool Group, LLC; Dallas (TX); On-site; USD 93,000 - 170,000; Full time

Benefits offered by this job

Comprehensive Insurance Coverage

Flexible Spending Accounts

Short-Term Disability

Comprehensive 401(k) plan

Parental Leave

Discretionary Time Off

Wellness Program

Tuition Reimbursement

Pet Insurance

Identity Theft Protection

Student Debt Repayment Program

Prepaid Legal coverage

Job summary

PowerSchool Group LLC is seeking a Lead AI Engineer to design, build, and deploy production‑grade AI solutions, including agentic workflows, RAG apps, and enterprise integrations. You will lead a small team, own end-to-end AI delivery, and collaborate with stakeholders to scale capabilities.

The role emphasizes hands‑on engineering, technical leadership, and fast iteration, delivering weekly releases in a cloud environment with strong governance and best practices.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field.
• 6–10+ years of software engineering experience with hands-on AI/LLM work.
• Proven experience building and deploying LLM-powered applications, agentic workflows, and production automation.

Responsibilities

• Design and deploy agentic AI workflows and products for customers.
• Build production-grade systems including multi-agent workflows and RAG-based applications.
• Develop prompt engineering strategies, orchestration logic, API integrations and data pipelines.
• Deliver weekly or bi-weekly releases with high accountability in a fast-paced environment.

Skills

AI/LLM systems

Agentic workflows

Automation strategies

Cloud deployment

Education

Bachelor’s degree in CS/Engineering/Data Science

Tools

Codex

Claude Code

Gemini

NotebookLM

LangChain

LangGraph

LlamaIndex

Job description

PowerSchool Group LLC is seeking a Lead AI Engineer to design, build, and deploy production‑grade AI solutions, including agentic workflows, RAG apps, and enterprise integrations. You will lead a small team, own end-to-end AI delivery, and collaborate with stakeholders to scale capabilities.

The role emphasizes hands‑on engineering, technical leadership, and fast iteration, delivering weekly releases in a cloud environment with strong governance and best practices.